Straw – WGCNA
Grigory Gladkov
8/30/2022
0.1 Импорт
Импорт phyloseq объекта и библиотек
Датасет - хроносерия разложения соломы - от фактор Day 10ти уровней
library(phyloseq)
library(tidyverse)
library(ggpubr)
library(ampvis2)
library(ANCOMBC)
library(heatmaply)
library(compositions)
library(igraph)
library(WGCNA)
require(DESeq2)
require(phyloseq)
ps.f <- readRDS("psf2")0.2 functions
#phyloseq object to ampvis2 object
#https://gist.github.com/KasperSkytte/8d0ca4206a66be7ff6d76fc4ab8e66c6
phyloseq_to_ampvis2 <- function(physeq) {
#check object for class
if(!any(class(physeq) %in% "phyloseq"))
stop("physeq object must be of class \"phyloseq\"", call. = FALSE)
#ampvis2 requires taxonomy and abundance table, phyloseq checks for the latter
if(is.null(physeq@tax_table))
stop("No taxonomy found in the phyloseq object and is required for ampvis2", call. = FALSE)
#OTUs must be in rows, not columns
if(phyloseq::taxa_are_rows(physeq))
abund <- as.data.frame(phyloseq::otu_table(physeq)@.Data)
else
abund <- as.data.frame(t(phyloseq::otu_table(physeq)@.Data))
#tax_table is assumed to have OTUs in rows too
tax <- phyloseq::tax_table(physeq)@.Data
#merge by rownames (OTUs)
otutable <- merge(
abund,
tax,
by = 0,
all.x = TRUE,
all.y = FALSE,
sort = FALSE
)
colnames(otutable)[1] <- "OTU"
#extract sample_data (metadata)
if(!is.null(physeq@sam_data)) {
metadata <- data.frame(
phyloseq::sample_data(physeq),
row.names = phyloseq::sample_names(physeq),
stringsAsFactors = FALSE,
check.names = FALSE
)
#check if any columns match exactly with rownames
#if none matched assume row names are sample identifiers
samplesCol <- unlist(lapply(metadata, function(x) {
identical(x, rownames(metadata))}))
if(any(samplesCol)) {
#error if a column matched and it's not the first
if(!samplesCol[[1]])
stop("Sample ID's must be in the first column in the sample metadata, please reorder", call. = FALSE)
} else {
#assume rownames are sample identifiers, merge at the end with name "SampleID"
if(any(colnames(metadata) %in% "SampleID"))
stop("A column in the sample metadata is already named \"SampleID\" but does not seem to contain sample ID's", call. = FALSE)
metadata$SampleID <- rownames(metadata)
#reorder columns so SampleID is the first
metadata <- metadata[, c(which(colnames(metadata) %in% "SampleID"), 1:(ncol(metadata)-1L)), drop = FALSE]
}
} else
metadata <- NULL
#extract phylogenetic tree, assumed to be of class "phylo"
if(!is.null(physeq@phy_tree)) {
tree <- phyloseq::phy_tree(physeq)
} else
tree <- NULL
#extract OTU DNA sequences, assumed to be of class "XStringSet"
if(!is.null(physeq@refseq)) {
#convert XStringSet to DNAbin using a temporary file (easiest)
fastaTempFile <- tempfile(pattern = "ampvis2_", fileext = ".fa")
Biostrings::writeXStringSet(physeq@refseq, filepath = fastaTempFile)
} else
fastaTempFile <- NULL
#load as normally with amp_load
ampvis2::amp_load(
otutable = otutable,
metadata = metadata,
tree = tree,
fasta = fastaTempFile
)
}
#variance stabilisation from DESeq2
ps_vst <- function(ps, factor){
diagdds = phyloseq_to_deseq2(ps, as.formula(paste( "~", factor)))
diagdds = estimateSizeFactors(diagdds, type="poscounts")
diagdds = estimateDispersions(diagdds, fitType = "local")
pst <- varianceStabilizingTransformation(diagdds)
pst.dimmed <- t(as.matrix(assay(pst)))
# pst.dimmed[pst.dimmed < 0.0] <- 0.0
ps.varstab <- ps
otu_table(ps.varstab) <- otu_table(pst.dimmed, taxa_are_rows = FALSE)
return(ps.varstab)
}
#WGCNA visualisation
#result - list class object with attributes:
# ps - phyloseq object
# amp - ampwis2 object
# heat - heatmap with absalute read numbers
# heat_rel - hetmap with relative abundances
# tree - phylogenetic tree with taxonomy
color_filt <- function(ps, df){
library(tidyverse)
library(reshape2)
library(gridExtra)
l = list()
for (i in levels(df$module)){
message(i)
color_name <- df %>%
filter(module == i) %>%
pull(asv) %>%
unique()
ps.col <- prune_taxa(color_name, ps)
amp.col <- phyloseq_to_ampvis2(ps.col)
heat <- amp_heatmap(amp.col, tax_show = 60,
group_by = "Day",
tax_aggregate = "OTU",
tax_add = "Genus",
normalise=FALSE,
showRemainingTaxa = TRUE)
ps.rel <- phyloseq::transform_sample_counts(ps.col, function(x) x / sum(x) * 100)
amp.r <- phyloseq_to_ampvis2(ps.rel)
heat.rel <- amp_heatmap(amp.r, tax_show = 60,
group_by = "Day",
tax_aggregate = "OTU",
tax_add = "Genus",
normalise=FALSE,
showRemainingTaxa = TRUE)
tree <- ps.col@phy_tree
taxa <- as.data.frame(ps.col@tax_table@.Data)
p1 <- ggtree(tree) +
geom_tiplab(size=2, align=TRUE, linesize=.5) +
theme_tree2()
taxa[taxa == "Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium"] <- "Allorhizobium"
taxa[taxa == "Burkholderia-Caballeronia-Paraburkholderia"] <- "Burkholderia"
tx <- taxa %>%
rownames_to_column("id") %>%
mutate(id = factor(id, levels = rev(get_taxa_name(p1)))) %>%
dplyr::select(-c(Kingdom, Species, Order)) %>%
melt(id.var = 'id')
p2 <- ggplot(tx, aes(variable, id)) +
geom_tile(aes(fill = value), alpha = 0.4) +
geom_text(aes(label = value), size = 3) +
theme_bw() +
theme(legend.position = "none",
axis.ticks.x=element_blank(),
axis.text.y=element_blank(),
axis.ticks.y=element_blank(),
axis.title.x = element_blank(),
axis.title.y = element_blank())
p <- ggpubr::ggarrange(p1, p2, widths = c(0.9, 1))
l[[i]] <- list("ps" = ps.col,
"amp" = amp.col,
"heat" = heat,
"heat_rel" = heat.rel,
"tree" = p,
"taxa" = knitr::kable(taxa))
}
return(l)
}
detachAllPackages <- function() {
basic.packages <- c("package:stats","package:graphics","package:grDevices","package:utils","package:datasets","package:methods","package:base")
package.list <- search()[ifelse(unlist(gregexpr("package:",search()))==1,TRUE,FALSE)]
package.list <- setdiff(package.list,basic.packages)
if (length(package.list)>0) for (package in package.list) detach(package, character.only=TRUE, force = TRUE)
}
plot_alpha_w_toc <- function(ps, group, metric) {
require(phyloseq)
require(ggplot2)
ps_a <- prune_taxa(taxa_sums(ps) > 0, ps)
er <- estimate_richness(ps_a)
df_er <- cbind(ps_a@sam_data, er)
df_er <- df_er %>% select(c(group, metric))
stat.test <- aov(as.formula(paste0(metric, "~", group)), data = df_er) %>%
rstatix::tukey_hsd()
y <- seq(max(er[[metric]]), length=length(stat.test$p.adj), by=max(er[[metric]]/20))
plot_richness(ps_a, x=group, measures=metric) +
geom_boxplot() +
geom_point(size=1.2, alpha=0.3) +
ggpubr::stat_pvalue_manual(
stat.test,
label = "p.adj.signif",
y.position = y) +
theme_light() +
scale_color_brewer(palette="Dark2") +
theme(axis.text.x = element_text(angle = 90),
axis.title.x=element_blank()) +
labs(y=paste(metric, "index"))
}
# standart NMDS plot tool frop phyloseq with some additional aestatics
# have stress value on plot - may work as fuck
beta_custom_norm_NMDS_elli_w <- function(ps, seed = 7888, normtype="vst", Color="What", Group="Repeat"){
require(phyloseq)
require(ggplot2)
require(ggpubr)
library(ggforce)
ordination.b <- ordinate(ps, "NMDS", "bray")
mds <- as.data.frame(ordination.b$points)
p <- plot_ordination(ps,
ordination.b,
type="sample",
color = Color,
title="NMDS - Bray-Curtis",
# title=NULL,
axes = c(2,3) ) +
theme_bw() +
theme(text = element_text(size = 10)) +
geom_point(size = 3) +
annotate("text",
x=min(mds$MDS1) + abs(min(mds$MDS1))/7,
y=max(mds$MDS2),
label=paste0("Stress -- ", round(ordination.b$stress, 3))) +
geom_mark_ellipse(aes_string(group = Group, label = Group),
label.fontsize = 10,
label.buffer = unit(2, "mm"),
label.minwidth = unit(5, "mm"),
con.cap = unit(0.1, "mm"),
con.colour='gray') +
theme(legend.position = "none") +
ggplot2::scale_fill_viridis_c(option = "H")
return(p)
}
# alpha with aov + tukie post-hock - useless, but it looks pretty good
plot_alpha_w_toc <- function(ps, group, metric) {
require(phyloseq)
require(ggplot2)
ps_a <- prune_taxa(taxa_sums(ps) > 0, ps)
er <- estimate_richness(ps_a)
df_er <- cbind(ps_a@sam_data, er)
df_er <- df_er %>% select(c(group, metric))
stat.test <- aov(as.formula(paste0(metric, "~", group)), data = df_er) %>%
rstatix::tukey_hsd()
y <- seq(max(er[[metric]]), length=length(stat.test$p.adj.signif[stat.test$p.adj.signif != "ns"]), by=max(er[[metric]]/20))
plot_richness(ps_a, x=group, measures=metric) +
geom_boxplot() +
geom_point(size=1.2, alpha=0.3) +
stat_pvalue_manual(
stat.test,
label = "p.adj.signif",
y.position = y,
hide.ns=TRUE) +
theme_light() +
scale_color_brewer(palette="Dark2") +
theme(axis.text.x = element_text(angle = 90),
axis.title.x=element_blank()) +
labs(y=paste(metric, "index"))
}0.3 Alpha
p1 <- plot_alpha_w_toc(ps = ps.f, group = "Day", metric = "Observed")## Note: Using an external vector in selections is ambiguous.
## ℹ Use `all_of(group)` instead of `group` to silence this message.
## ℹ See <https://tidyselect.r-lib.org/reference/faq-external-vector.html>.
## This message is displayed once per session.
## Note: Using an external vector in selections is ambiguous.
## ℹ Use `all_of(metric)` instead of `metric` to silence this message.
## ℹ See <https://tidyselect.r-lib.org/reference/faq-external-vector.html>.
## This message is displayed once per session.p2 <- plot_alpha_w_toc(ps = ps.f, group = "Day", metric = "Shannon")
p3 <- plot_alpha_w_toc(ps = ps.f, group = "Day", metric = "InvSimpson")
ggarrange(p1, p2, p3, nrow = 1)
Add Group parameter to metadata -
- early - D01, D03, D05
- middle - D07, D08, D10
- late - D13, D14, D15
sample.data <- ps.f@sam_data %>%
data.frame() %>%
mutate(Group = if_else(Day %in% c("D01", "D03", "D05"), "early",
if_else(Day %in% c("D07", "D08","D10"), "middle", "late"))) %>%
mutate(Group = factor(Group, levels=c("early", "middle","late"))) %>%
phyloseq::sample_data()
sample_data(ps.f) <- sample.data
p.observed <- plot_alpha_w_toc(ps = ps.f, group = "Group", metric = c("Observed")) +
theme(axis.title.y = element_blank())
p.shannon <- plot_alpha_w_toc(ps = ps.f, group = "Group", metric = c("Shannon")) +
theme(axis.title.y = element_blank())
p.simpson <- plot_alpha_w_toc(ps = ps.f, group = "Group", metric = c("InvSimpson")) +
theme(axis.title.y = element_blank())
ggpubr::ggarrange(p.observed, p.shannon, p.simpson, ncol = 3)
0.4 beta statistic
0.4.1 permanova
permanova - group significantlly different - dispersion between is more, than inside groups
dist <- phyloseq::distance(ps.f, "bray")
metadata <- as(sample_data(ps.f@sam_data), "data.frame")
vegan::adonis2(dist ~ Group, data = metadata)## Permutation test for adonis under reduced model
## Terms added sequentially (first to last)
## Permutation: free
## Number of permutations: 999
##
## vegan::adonis2(formula = dist ~ Group, data = metadata)
## Df SumOfSqs R2 F Pr(>F)
## Group 2 3.2742 0.33893 8.2033 0.001 ***
## Residual 32 6.3861 0.66107
## Total 34 9.6604 1.00000
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 10.4.2 dynamic of beta diversity
Дистанция брей кертиса по шагам между каждыми днями. (Например - все D15 против D14) Может на эту картинку подвесить еще почвенное дыхание?
ps.f.r <- rarefy_even_depth(ps.f, rngseed = 777)
avg.r <- ps.f.r@otu_table %>%
as.data.frame() %>%
vegan::avgdist(10)
avg <- ps.f@otu_table %>%
as.data.frame() %>%
vegan::avgdist(10)
# avg %>%
# as.matrix() %>%
# as_tibble(rownames= "sample") %>%
# pivot_longer(-sample) %>%
# filter(sample < name) %>%
# mutate(repeat_a = str_replace(sample, ".*-", ""),
# repeat_b = str_replace(name, ".*-", ""),
# day_a = as.numeric(str_replace(sapply(strsplit(sample, "-"), `[`, 3), "D", "")),
# day_b = as.numeric(str_replace(sapply(strsplit(name, "-"), `[`, 3), "D", "")),
# diff = abs(day_a - day_b),
# early = day_a < 10) %>%
# filter(repeat_a == repeat_b & diff < 10) %>%
# group_by(diff, repeat_a, early) %>%
# summarize(median = median(value)) %>%
# ungroup() %>%
# ggplot(aes(x=diff, y=median, color=early, group=paste0(repeat_a, early))) +
# geom_line(size=0.25) +
# geom_smooth(aes(group=early), se=FALSE, size=4) +
# labs(x="Distance between time points",
# y="Median Bray-Curtis distance") +
# scale_x_continuous(breaks=1:9) +
# scale_color_manual(name=NULL,
# breaks=c(TRUE, FALSE),
# values=c("blue", "red"),
# labels=c("Early", "Late")) +
# guides(color = guide_legend(override.aes = list(size=1))) +
# theme_classic()
avg.r %>%
as.matrix() %>%
as_tibble(rownames= "sample") %>%
pivot_longer(-sample) %>%
filter(sample < name) %>%
mutate(repeat_a = str_replace(sample, ".*-", ""),
repeat_b = str_replace(name, ".*-", ""),
day_a = as.numeric(str_replace(sapply(strsplit(sample, "-"), `[`, 3), "D", "")),
day_b = as.numeric(str_replace(sapply(strsplit(name, "-"), `[`, 3), "D", ""))) %>%
mutate(day_a = as.numeric(as.factor(day_a) %>% forcats::fct_recode("2" = "3", "3" = "5", "4" = "7", "5" = "8", "6" = "10", "7" = "13", "8" = "14", "9" = "14", "10" = "15")),
day_b = as.numeric(as.factor(day_b) %>% forcats::fct_recode("2" = "3", "3" = "5", "4" = "7", "5" = "8", "6" = "10", "7" = "12", "8" = "13", "9" = "14", "10" = "15")),
diff = abs(day_a - day_b)) %>%
filter(diff == 1) %>%
mutate(day_b = as.factor(day_b) %>% forcats::fct_recode("D03" = "2", "D05" = "3","D07" = "4", "D08" = "5", "D10" = "6", "D13" = "7", "D14" = "8", "D15" = "10", "D12" = "7")) %>%
ggplot(aes(x=day_b, y=value)) +
geom_boxplot() +
theme_bw() +
labs(x="Time points",
y="Bray-Curtis distance")
0.4.3 basic NMDS plot
IN WORK!!
beta_custom_norm_NMDS_elli_w(ps.f, C="Group", G="Day")## Square root transformation
## Wisconsin double standardization
## Run 0 stress 0.1048129
## Run 1 stress 0.1372731
## Run 2 stress 0.1318495
## Run 3 stress 0.1048129
## ... Procrustes: rmse 0.00004856956 max resid 0.0001949092
## ... Similar to previous best
## Run 4 stress 0.1048129
## ... New best solution
## ... Procrustes: rmse 0.00001842645 max resid 0.00006948497
## ... Similar to previous best
## Run 5 stress 0.1426236
## Run 6 stress 0.1048204
## ... Procrustes: rmse 0.001770292 max resid 0.007527799
## ... Similar to previous best
## Run 7 stress 0.1064532
## Run 8 stress 0.1064733
## Run 9 stress 0.1048204
## ... Procrustes: rmse 0.001767644 max resid 0.007510715
## ... Similar to previous best
## Run 10 stress 0.1064532
## Run 11 stress 0.1318495
## Run 12 stress 0.1064733
## Run 13 stress 0.1064733
## Run 14 stress 0.1460032
## Run 15 stress 0.1048204
## ... Procrustes: rmse 0.001769848 max resid 0.007525048
## ... Similar to previous best
## Run 16 stress 0.1064532
## Run 17 stress 0.1372728
## Run 18 stress 0.1048129
## ... Procrustes: rmse 0.000002711789 max resid 0.0000100797
## ... Similar to previous best
## Run 19 stress 0.1460029
## Run 20 stress 0.146003
## *** Solution reached
0.5 Splitting the dataset
Разделим датасет на две группы
1-я - в более чем 10% образцов должно быть хотя бы 10 ридов - эта группа пойдет в анализ далее
ps.inall <- phyloseq::filter_taxa(ps.f, function(x) sum(x > 10) > (0.1*length(x)), TRUE)
amp.inall <- phyloseq_to_ampvis2(ps.inall)
amp_heatmap(amp.inall,
tax_show = 40,
group_by = "Day",
tax_aggregate = "OTU",
tax_add = "Genus",
normalise=FALSE,
showRemainingTaxa = TRUE)
Вторая - оставшиеся, но более 100 ридов по всем образцам(далее -
вылетающие мажоры(ВМ))
Остальные филотипы выкидываем из анализа
ps.exl <- phyloseq::filter_taxa(ps.f, function(x) sum(x > 10) < (0.1*length(x)), TRUE)
ps.exl <- prune_taxa(taxa_sums(ps.exl) > 100, ps.exl)
amp.exl <- phyloseq_to_ampvis2(ps.exl)
amp_heatmap(amp.exl,
tax_show = 40,
group_by = "Day",
tax_aggregate = "OTU",
tax_add = "Genus",
normalise=FALSE,
showRemainingTaxa = TRUE)
То же, но c относительной представленностью.
ps.per <- phyloseq::transform_sample_counts(ps.f, function(x) x / sum(x) * 100)
ps.exl.taxa <- taxa_names(ps.exl)
ps.per.exl <- prune_taxa(ps.exl.taxa, ps.per)
amp.exl.r <- phyloseq_to_ampvis2(ps.per.exl)
amp_heatmap(amp.exl.r, tax_show = 60,
group_by = "Day",
tax_aggregate = "OTU",
tax_add = "Genus",
round = 2,
normalise=FALSE,
showRemainingTaxa = TRUE)
amp_heatmap(amp.exl.r, tax_show = 60,
group_by = "Day",
tax_aggregate = "OTU",
tax_add = "Genus",
round = 2,
normalise=FALSE, )
ВМ объединенные по родам. Относительная представленность.
amp_heatmap(amp.exl.r,
tax_show = 30,
group_by = "Day",
tax_aggregate = "Genus",
tax_add = "Phylum",
tax_class = "Proteobacteria",
round = 2,
normalise=FALSE,
showRemainingTaxa = TRUE)
Если посмотреть, если как распределяются ВМ по дням - похоже распределение ВМ связано не только с особенностью отдельных мешочков, но и с чисто техническими особенностями - вылетающие значения вылетают в основном не с биологическими повторностями, а с техническими(красная линия - выбрана визуально)
p_box <- phyloseq::sample_sums(ps.per.exl) %>%
as.data.frame(col.names = "values") %>%
setNames(., nm = "values") %>%
rownames_to_column("samples") %>%
mutate(Day = sapply(strsplit(samples, "-"), `[`, 3)) %>%
ggplot(aes(x=Day, y=values, color=Day, fill = Day)) +
geom_boxplot(aes(color=Day, fill = Day)) +
geom_point(color = "black", position = position_dodge(width=0.2)) +
geom_hline(yintercept = 10, colour = "red") +
theme_bw() +
theme(legend.position = "none")
p_box <- p_box + viridis::scale_color_viridis(option = "H", discrete = TRUE, direction=1, begin=0.1, end = 0.9, alpha = 0.5)
p_box + viridis::scale_fill_viridis(option = "H", discrete = TRUE, direction=1, begin=0.1, end = 0.9, alpha = 0.3)
0.6 WGCNA
0.6.1 clr
после clr нормализации / выглядит отвратительно попробуем нормализацию vst из DESeq2
otu.inall <- as.data.frame(ps.inall@otu_table@.Data)
ps.inall.clr <- ps.inall
otu_table(ps.inall.clr) <- phyloseq::otu_table(compositions::clr(otu.inall), taxa_are_rows = FALSE)
data <- ps.inall.clr@otu_table@.Data %>%
as.data.frame()
rownames(data) <- as.character(ps.inall.clr@sam_data$Description)
powers <- c(c(1:10), seq(from = 12, to=30, by=1))
sft <- pickSoftThreshold(data, powerVector = powers, verbose = 5, networkType = "signed")## pickSoftThreshold: will use block size 338.
## pickSoftThreshold: calculating connectivity for given powers...
## ..working on genes 1 through 338 of 338## Warning: executing %dopar% sequentially: no parallel backend registered## Power SFT.R.sq slope truncated.R.sq mean.k. median.k. max.k.
## 1 1 0.185 23.60 0.8790 168.0000 168.00000 172.000
## 2 2 0.199 -15.50 0.8970 87.6000 87.20000 95.100
## 3 3 0.518 -13.10 0.8580 47.3000 46.80000 55.900
## 4 4 0.390 -6.46 0.8050 26.5000 26.00000 34.500
## 5 5 0.262 -3.46 0.7820 15.4000 14.90000 22.300
## 6 6 0.232 -2.30 0.7770 9.2300 8.78000 15.000
## 7 7 0.251 -1.87 0.6990 5.7300 5.36000 10.500
## 8 8 0.319 -1.75 0.7570 3.6800 3.41000 7.620
## 9 9 0.527 -2.07 0.7770 2.4400 2.20000 5.890
## 10 10 0.648 -2.28 0.8490 1.6600 1.47000 4.690
## 11 12 0.827 -2.41 0.8970 0.8420 0.69300 3.190
## 12 13 0.793 -2.38 0.7930 0.6220 0.49000 2.700
## 13 14 0.277 -3.97 0.0914 0.4690 0.35500 2.320
## 14 15 0.282 -3.83 0.1000 0.3610 0.26100 2.010
## 15 16 0.894 -2.17 0.9030 0.2820 0.19800 1.770
## 16 17 0.905 -2.10 0.9080 0.2240 0.15000 1.560
## 17 18 0.922 -2.04 0.9240 0.1810 0.11500 1.390
## 18 19 0.927 -2.01 0.9230 0.1480 0.08820 1.250
## 19 20 0.938 -1.93 0.9370 0.1220 0.06780 1.130
## 20 21 0.946 -1.86 0.9470 0.1020 0.05260 1.020
## 21 22 0.315 -3.12 0.2220 0.0856 0.04140 0.926
## 22 23 0.303 -3.96 0.1560 0.0728 0.03270 0.844
## 23 24 0.307 -2.92 0.1940 0.0623 0.02590 0.772
## 24 25 0.303 -2.84 0.1800 0.0538 0.02060 0.708
## 25 26 0.921 -1.63 0.8990 0.0467 0.01650 0.657
## 26 27 0.892 -1.61 0.8650 0.0408 0.01320 0.622
## 27 28 0.155 -1.93 -0.0202 0.0359 0.01040 0.591
## 28 29 0.199 -2.77 -0.0228 0.0317 0.00841 0.563
## 29 30 0.199 -2.69 -0.0203 0.0282 0.00684 0.537plot(sft$fitIndices[,1], -sign(sft$fitIndices[,3])*sft$fitIndices[,2], xlab="Soft Threshold (power)",ylab="Scale Free Topology Model Fit,signed R^2",type="n", main = paste("Scale independence"))
text(sft$fitIndices[,1], -sign(sft$fitIndices[,3])*sft$fitIndices[,2], labels=powers,cex=0.9,col="red")
abline(h=0.9,col="salmon")
0.6.2 vst
после vst нормализации
ps.varstab <- ps_vst(ps.inall, "Day")
data2 <- ps.varstab@otu_table@.Data %>%
as.data.frame()
rownames(data2) <- as.character(ps.varstab@sam_data$Description)
powers <- c(seq(from = 1, to=10, by=0.5), seq(from = 11, to=20, by=1))
sft2 <- pickSoftThreshold(data2, powerVector = powers, verbose = 5, networkType = "signed hybrid")## pickSoftThreshold: will use block size 338.
## pickSoftThreshold: calculating connectivity for given powers...
## ..working on genes 1 through 338 of 338
## Power SFT.R.sq slope truncated.R.sq mean.k. median.k. max.k.
## 1 1.0 0.409 -1.05 0.704 50.100 45.60000 97.80
## 2 1.5 0.578 -1.07 0.895 30.900 27.00000 71.20
## 3 2.0 0.723 -1.15 0.942 20.300 17.90000 53.60
## 4 2.5 0.767 -1.24 0.871 14.000 12.00000 41.70
## 5 3.0 0.809 -1.31 0.909 10.000 7.86000 33.40
## 6 3.5 0.872 -1.31 0.958 7.380 5.39000 27.30
## 7 4.0 0.888 -1.30 0.968 5.580 3.76000 22.60
## 8 4.5 0.858 -1.36 0.910 4.320 2.67000 19.00
## 9 5.0 0.892 -1.36 0.943 3.400 1.94000 16.20
## 10 5.5 0.899 -1.38 0.954 2.720 1.41000 13.90
## 11 6.0 0.896 -1.39 0.962 2.210 1.07000 12.10
## 12 6.5 0.897 -1.33 0.962 1.820 0.84700 10.60
## 13 7.0 0.910 -1.30 0.970 1.520 0.65400 9.30
## 14 7.5 0.914 -1.31 0.966 1.280 0.51500 8.25
## 15 8.0 0.913 -1.28 0.954 1.090 0.41500 7.36
## 16 8.5 0.905 -1.28 0.937 0.938 0.34000 6.59
## 17 9.0 0.895 -1.30 0.913 0.813 0.27800 5.99
## 18 9.5 0.878 -1.33 0.900 0.709 0.23200 5.49
## 19 10.0 0.886 -1.34 0.894 0.624 0.19100 5.07
## 20 11.0 0.911 -1.31 0.928 0.491 0.12500 4.35
## 21 12.0 0.890 -1.29 0.894 0.396 0.08590 3.79
## 22 13.0 0.910 -1.26 0.918 0.325 0.06120 3.33
## 23 14.0 0.882 -1.25 0.856 0.272 0.04420 2.95
## 24 15.0 0.889 -1.19 0.864 0.230 0.03230 2.63
## 25 16.0 0.913 -1.18 0.893 0.198 0.02240 2.35
## 26 17.0 0.930 -1.16 0.912 0.172 0.01620 2.20
## 27 18.0 0.955 -1.19 0.947 0.151 0.01190 2.09
## 28 19.0 0.908 -1.21 0.896 0.134 0.00896 1.99
## 29 20.0 0.916 -1.21 0.906 0.120 0.00649 1.91plot(sft2$fitIndices[,1], -sign(sft2$fitIndices[,3])*sft2$fitIndices[,2], xlab="Soft Threshold (power)",ylab="Scale Free Topology Model Fit,signed R^2",type="n", main = paste("Scale independence"))
text(sft2$fitIndices[,1], -sign(sft2$fitIndices[,3])*sft2$fitIndices[,2], labels=powers,cex=0.9,col="red")
abline(h=0.9,col="salmon")
# WGCNA, as old and not supported
detachAllPackages()
library(WGCNA)
net3 <- WGCNA::blockwiseModules(data2,
power=5.5,
TOMType="signed",
networkType="signed hybrid",
nThreads=0)
mergedColors2 <- WGCNA::labels2colors(net3$colors, colorSeq = c("salmon", "darkgreen", "cyan", "red", "blue", "plum"))
plotDendroAndColors(
net3$dendrograms[[1]],
mergedColors2[net3$blockGenes[[1]]],
"Module colors",
dendroLabels = FALSE,
hang = 0.03,
addGuide = TRUE,
guideHang = 0.05)
0.6.2.1 Импорт 2
library(phyloseq)
library(tidyverse)
library(ggpubr)
library(ampvis2)
library(heatmaply)
library(WGCNA)
library(phyloseq)
library(ggtree)
library(tidyverse)
library(KneeArrower)modules_of_interest = mergedColors2 %>%
unique()
module_df <- data.frame(
asv = names(net3$colors),
colors = mergedColors2
)
# module_df[module_df == "yellow"] <- "salmon"
submod <- module_df %>%
subset(colors %in% modules_of_interest)
row.names(module_df) = module_df$asv
subexpr = as.data.frame(t(data2))[submod$asv,]
submod_df <- data.frame(subexpr) %>%
mutate(
asv = row.names(.)
) %>%
pivot_longer(-asv) %>%
mutate(
module = module_df[asv,]$colors
)
submod_df <- submod_df %>%
mutate(name = gsub("\\_.*","",submod_df$name)) %>%
group_by(name, asv) %>%
summarise(value = mean(value), asv = asv, module = module) %>%
relocate(c(asv, name, value, module)) %>%
ungroup() %>%
mutate(module = as.factor(module))
p <- submod_df %>%
ggplot(., aes(x=name, y=value, group=asv)) +
geom_line(aes(color = module),
alpha = 0.2) +
theme_bw() +
theme(
axis.text.x = element_text(angle = 90),
legend.position = "none") +
facet_grid(rows = vars(module)) +
labs(x = "treatment",
y = "normalized expression")
p + scale_color_manual(values = levels(submod_df$module))
0.6.2.2 ordination
UNIFRAC - колбаска сужается
ps.inall.col <- ps.inall
df <- module_df %>%
rename("id" = "asv")
df <- df %>%
dplyr::select(-"id") %>%
mutate(colors = as.factor(colors))
taxa <- as.data.frame(ps.inall@tax_table@.Data)
tx <- cbind(taxa, df)
tx$colors <- factor(tx$colors, levels = c("salmon", "darkgreen", "cyan", "red", "blue", "plum"))
tax_table(ps.inall.col) <- tax_table(as.matrix(tx))
ord <- ordinate(ps.inall.col, "NMDS", "unifrac")## Run 0 stress 0.0685455
## Run 1 stress 0.05568715
## ... New best solution
## ... Procrustes: rmse 0.04076806 max resid 0.2160826
## Run 2 stress 0.06784429
## Run 3 stress 0.05628488
## Run 4 stress 0.05568719
## ... Procrustes: rmse 0.0001769095 max resid 0.0006062451
## ... Similar to previous best
## Run 5 stress 0.07937976
## Run 6 stress 0.07544596
## Run 7 stress 0.05628489
## Run 8 stress 0.05568719
## ... Procrustes: rmse 0.00002559041 max resid 0.00008856774
## ... Similar to previous best
## Run 9 stress 0.05568712
## ... New best solution
## ... Procrustes: rmse 0.00002106782 max resid 0.00006934972
## ... Similar to previous best
## Run 10 stress 0.06740137
## Run 11 stress 0.06740136
## Run 12 stress 0.06784421
## Run 13 stress 0.06784436
## Run 14 stress 0.06854546
## Run 15 stress 0.07953205
## Run 16 stress 0.05568719
## ... Procrustes: rmse 0.00004255519 max resid 0.0001401031
## ... Similar to previous best
## Run 17 stress 0.06740138
## Run 18 stress 0.06728216
## Run 19 stress 0.05568718
## ... Procrustes: rmse 0.0000373923 max resid 0.0001312747
## ... Similar to previous best
## Run 20 stress 0.07888487
## *** Solution reachedplot_ordination(ps.inall.col, ord, type = "species", color = "colors") +
scale_color_manual(values = c("salmon", "darkgreen", "cyan", "red", "blue", "plum")) +
theme_bw() +
theme(legend.position = "none")
Bray - колбаска равномерна
Поздние стадии слева - при этом ранние кластеры накладываются, поздние
разделены Что влияет на ось2? Явно есть какой-то паттерн.
ord <- ordinate(ps.inall.col, "NMDS", "bray")## Square root transformation
## Wisconsin double standardization
## Run 0 stress 0.09036937
## Run 1 stress 0.0903694
## ... Procrustes: rmse 0.00001927814 max resid 0.00007086537
## ... Similar to previous best
## Run 2 stress 0.09024752
## ... New best solution
## ... Procrustes: rmse 0.003386048 max resid 0.01505777
## Run 3 stress 0.09036938
## ... Procrustes: rmse 0.003390695 max resid 0.01505826
## Run 4 stress 0.09036937
## ... Procrustes: rmse 0.003386035 max resid 0.01507802
## Run 5 stress 0.09036937
## ... Procrustes: rmse 0.003386432 max resid 0.01505862
## Run 6 stress 0.1257473
## Run 7 stress 0.09036937
## ... Procrustes: rmse 0.003385691 max resid 0.01507976
## Run 8 stress 0.1268919
## Run 9 stress 0.09036944
## ... Procrustes: rmse 0.003410952 max resid 0.01523599
## Run 10 stress 0.09024752
## ... New best solution
## ... Procrustes: rmse 0.00003844186 max resid 0.0001638862
## ... Similar to previous best
## Run 11 stress 0.09036937
## ... Procrustes: rmse 0.003380784 max resid 0.0150593
## Run 12 stress 0.09036938
## ... Procrustes: rmse 0.003379871 max resid 0.01508219
## Run 13 stress 0.09036939
## ... Procrustes: rmse 0.003385498 max resid 0.01512324
## Run 14 stress 0.1358024
## Run 15 stress 0.09024754
## ... Procrustes: rmse 0.00003794727 max resid 0.0001665169
## ... Similar to previous best
## Run 16 stress 0.1258672
## Run 17 stress 0.1358024
## Run 18 stress 0.09036937
## ... Procrustes: rmse 0.003376715 max resid 0.01503468
## Run 19 stress 0.126985
## Run 20 stress 0.1360016
## *** Solution reachedplot_ordination(ps.inall.col, ord, type = "species", color = "colors") +
scale_color_manual(values = c("salmon", "darkgreen", "cyan", "red", "blue", "plum")) +
theme_bw() +
theme(legend.position = "none")
0.6.2.3 visualisation
Далее идут одинаковые картинки по всем группам.
l_vst <- color_filt(ps.inall, submod_df)
l_vst$blue \(blue\)ps phyloseq-class experiment-level object otu_table() OTU Table: [ 86 taxa and 35 samples ] sample_data() Sample Data: [ 35 samples by 3 sample variables ] tax_table() Taxonomy Table: [ 86 taxa by 7 taxonomic ranks ] phy_tree() Phylogenetic Tree: [ 86 tips and 85 internal nodes ] refseq() DNAStringSet: [ 86 reference sequences ]
\(blue\)amp ampvis2 object with 5 elements. Summary of OTU table: Samples OTUs Total#Reads Min#Reads Max#Reads Median#Reads 35 86 89493 0 11387 1819 Avg#Reads 2556.94
Assigned taxonomy: Kingdom Phylum Class Order Family Genus Species 86(100%) 86(100%) 86(100%) 85(98.84%) 79(91.86%) 50(58.14%) 7(8.14%)
Metadata variables: 4 SampleID, Day, Description, Group
\(blue\)heat
\(blue\)heat_rel
\(blue\)tree
\(blue\)taxa
| Kingdom | Phylum | Class | Order | Family | Genus | Species | |
|---|---|---|---|---|---|---|---|
| Seq314 | Bacteria | Cyanobacteria | Vampirivibrionia | Obscuribacterales | Obscuribacteraceae | NA | NA |
| Seq23 | Bacteria | Cyanobacteria | Vampirivibrionia | Obscuribacterales | Obscuribacteraceae | NA | NA |
| Seq65 | Bacteria | Proteobacteria | Alphaproteobacteria | Sphingomonadales | Sphingomonadaceae | Sphingomonas | NA |
| Seq188 | Bacteria | Proteobacteria | Alphaproteobacteria | Reyranellales | Reyranellaceae | Reyranella | soli |
| Seq334 | Bacteria | Proteobacteria | Alphaproteobacteria | Reyranellales | Reyranellaceae | Reyranella | NA |
| Seq75 | Bacteria | Proteobacteria | Alphaproteobacteria | Reyranellales | Reyranellaceae | Reyranella | NA |
| Seq167 | Bacteria | Proteobacteria | Alphaproteobacteria | Reyranellales | Reyranellaceae | Reyranella | massiliensis |
| Seq273 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Kaistiaceae | Kaistia | NA |
| Seq131 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Xanthobacteraceae | Pseudolabrys | NA |
| Seq138 | Bacteria | Proteobacteria | Alphaproteobacteria | Micropepsales | Micropepsaceae | NA | NA |
| Seq104 | Bacteria | Proteobacteria | Alphaproteobacteria | Micropepsales | Micropepsaceae | NA | NA |
| Seq129 | Bacteria | Proteobacteria | Alphaproteobacteria | Sphingomonadales | Sphingomonadaceae | Altererythrobacter | NA |
| Seq28 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Devosiaceae | Devosia | NA |
| Seq360 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Rhizobiaceae | Mesorhizobium | NA |
| Seq292 | Bacteria | Proteobacteria | Alphaproteobacteria | Caulobacterales | Caulobacteraceae | NA | NA |
| Seq166 | Bacteria | Proteobacteria | Alphaproteobacteria | Caulobacterales | Hyphomonadaceae | Hirschia | NA |
| Seq39 | Bacteria | Gemmatimonadota | Gemmatimonadetes | Gemmatimonadales | Gemmatimonadaceae | NA | NA |
| Seq30 | Bacteria | Actinobacteriota | Thermoleophilia | Solirubrobacterales | Solirubrobacteraceae | Conexibacter | NA |
| Seq151 | Bacteria | Actinobacteriota | Thermoleophilia | Solirubrobacterales | 67-14 | NA | NA |
| Seq250 | Bacteria | Actinobacteriota | Thermoleophilia | Solirubrobacterales | 67-14 | NA | NA |
| Seq135 | Bacteria | Myxococcota | Polyangia | Polyangiales | BIrii41 | NA | NA |
| Seq46 | Bacteria | Myxococcota | Polyangia | Polyangiales | BIrii41 | NA | NA |
| Seq35 | Bacteria | Myxococcota | Polyangia | Polyangiales | BIrii41 | NA | NA |
| Seq106 | Bacteria | Myxococcota | Polyangia | Polyangiales | Sandaracinaceae | NA | NA |
| Seq345 | Bacteria | Bdellovibrionota | Oligoflexia | 0319-6G20 | NA | NA | NA |
| Seq198 | Bacteria | Bdellovibrionota | Bdellovibrionia | Bdellovibrionales | Bdellovibrionaceae | Bdellovibrio | NA |
| Seq97 | Bacteria | Bdellovibrionota | Bdellovibrionia | Bdellovibrionales | Bdellovibrionaceae | Bdellovibrio | NA |
| Seq183 | Bacteria | Dependentiae | Babeliae | Babeliales | UBA12409 | NA | NA |
| Seq424 | Bacteria | Actinobacteriota | Actinobacteria | Propionibacteriales | Nocardioidaceae | Kribbella | NA |
| Seq136 | Bacteria | Actinobacteriota | Acidimicrobiia | Microtrichales | Iamiaceae | Iamia | NA |
| Seq174 | Bacteria | Actinobacteriota | Acidimicrobiia | Microtrichales | Iamiaceae | Iamia | NA |
| Seq43 | Bacteria | Actinobacteriota | Actinobacteria | Micrococcales | Microbacteriaceae | Galbitalea | NA |
| Seq420 | Bacteria | Actinobacteriota | Actinobacteria | Micromonosporales | Micromonosporaceae | Luedemannella | NA |
| Seq127 | Bacteria | Actinobacteriota | Actinobacteria | Micromonosporales | Micromonosporaceae | Dactylosporangium | NA |
| Seq288 | Bacteria | Actinobacteriota | Actinobacteria | Streptomycetales | Streptomycetaceae | NA | NA |
| Seq449 | Bacteria | Actinobacteriota | Actinobacteria | Propionibacteriales | Propionibacteriaceae | Jiangella | NA |
| Seq91 | Bacteria | Bacteroidota | Bacteroidia | Bacteroidales | NA | NA | NA |
| Seq149 | Bacteria | Bacteroidota | Bacteroidia | Bacteroidetes VC2.1 Bac22 | NA | NA | NA |
| Seq169 | Bacteria | Bacteroidota | Bacteroidia | Sphingobacteriales | Sphingobacteriaceae | Mucilaginibacter | calamicampi |
| Seq81 | Bacteria | Bacteroidota | Bacteroidia | Sphingobacteriales | NS11-12 marine group | NA | NA |
| Seq211 | Bacteria | Bacteroidota | Bacteroidia | NA | NA | NA | NA |
| Seq119 | Bacteria | Bacteroidota | Bacteroidia | Sphingobacteriales | env.OPS 17 | NA | NA |
| Seq77 | Bacteria | Spirochaetota | Spirochaetia | Spirochaetales | Spirochaetaceae | Salinispira | NA |
| Seq175 | Bacteria | Spirochaetota | Spirochaetia | Spirochaetales | Spirochaetaceae | Spirochaeta 2 | NA |
| Seq305 | Bacteria | Chloroflexi | Anaerolineae | Anaerolineales | Anaerolineaceae | NA | NA |
| Seq379 | Bacteria | Chloroflexi | Chloroflexia | Chloroflexales | Roseiflexaceae | NA | NA |
| Seq165 | Bacteria | Chloroflexi | Chloroflexia | Chloroflexales | Roseiflexaceae | NA | NA |
| Seq327 | Bacteria | Chloroflexi | Chloroflexia | Thermomicrobiales | JG30-KF-CM45 | NA | NA |
| Seq252 | Bacteria | Armatimonadota | Fimbriimonadia | Fimbriimonadales | Fimbriimonadaceae | NA | NA |
| Seq382 | Bacteria | Verrucomicrobiota | Verrucomicrobiae | Pedosphaerales | Pedosphaeraceae | NA | NA |
| Seq123 | Bacteria | Verrucomicrobiota | Verrucomicrobiae | Opitutales | Opitutaceae | Lacunisphaera | limnophila |
| Seq124 | Bacteria | Verrucomicrobiota | Verrucomicrobiae | Chthoniobacterales | Terrimicrobiaceae | Terrimicrobium | NA |
| Seq325 | Bacteria | Verrucomicrobiota | Verrucomicrobiae | Chthoniobacterales | Chthoniobacteraceae | LD29 | NA |
| Seq272 | Bacteria | Verrucomicrobiota | Verrucomicrobiae | Verrucomicrobiales | Verrucomicrobiaceae | Roseimicrobium | gellanilyticum |
| Seq402 | Bacteria | Verrucomicrobiota | Verrucomicrobiae | Verrucomicrobiales | Rubritaleaceae | Luteolibacter | NA |
| Seq322 | Bacteria | Planctomycetota | Planctomycetes | Pirellulales | Pirellulaceae | NA | NA |
| Seq356 | Bacteria | Planctomycetota | Planctomycetes | Pirellulales | Pirellulaceae | NA | NA |
| Seq259 | Bacteria | Planctomycetota | Planctomycetes | Pirellulales | Pirellulaceae | Pir4 lineage | NA |
| Seq279 | Bacteria | Planctomycetota | Planctomycetes | Pirellulales | Pirellulaceae | Pir4 lineage | NA |
| Seq214 | Bacteria | Planctomycetota | Planctomycetes | Planctomycetales | Rubinisphaeraceae | SH-PL14 | NA |
| Seq209 | Bacteria | Planctomycetota | Planctomycetes | Planctomycetales | Schlesneriaceae | Schlesneria | NA |
| Seq229 | Bacteria | Acidobacteriota | Vicinamibacteria | Vicinamibacterales | Vicinamibacteraceae | NA | NA |
| Seq275 | Bacteria | Acidobacteriota | Vicinamibacteria | Vicinamibacterales | Vicinamibacteraceae | NA | NA |
| Seq247 | Bacteria | Acidobacteriota | Vicinamibacteria | Vicinamibacterales | NA | NA | NA |
| Seq316 | Bacteria | Bacteroidota | Kapabacteria | Kapabacteriales | NA | NA | NA |
| Seq371 | Bacteria | Bacteroidota | Bacteroidia | Cytophagales | Microscillaceae | Ohtaekwangia | NA |
| Seq12 | Bacteria | Bacteroidota | Bacteroidia | Cytophagales | Microscillaceae | Ohtaekwangia | NA |
| Seq153 | Bacteria | Bacteroidota | Bacteroidia | Cytophagales | Microscillaceae | Ohtaekwangia | NA |
| Seq326 | Bacteria | Bacteroidota | Bacteroidia | Cytophagales | Microscillaceae | Ohtaekwangia | NA |
| Seq10 | Bacteria | Bacteroidota | Bacteroidia | Cytophagales | Microscillaceae | NA | NA |
| Seq82 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Terrimonas | NA |
| Seq462 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Pseudoflavitalea | NA |
| Seq150 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Flavitalea | NA |
| Seq290 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Edaphobaculum | NA |
| Seq339 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Edaphobaculum | NA |
| Seq120 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Taibaiella | NA |
| Seq233 | Bacteria | Proteobacteria | Gammaproteobacteria | Pseudomonadales | 211ds20 | NA | NA |
| Seq133 | Bacteria | Proteobacteria | Gammaproteobacteria | Steroidobacterales | Steroidobacteraceae | Steroidobacter | flavus |
| Seq349 | Bacteria | Proteobacteria | Gammaproteobacteria | Steroidobacterales | Steroidobacteraceae | Steroidobacter | NA |
| Seq315 | Bacteria | Proteobacteria | Gammaproteobacteria | Gammaproteobacteria Incertae Sedis | Unknown Family | Acidibacter | NA |
| Seq57 | Bacteria | Proteobacteria | Gammaproteobacteria | Gammaproteobacteria Incertae Sedis | Unknown Family | Acidibacter | NA |
| Seq96 | Bacteria | Proteobacteria | Gammaproteobacteria | R7C24 | NA | NA | NA |
| Seq170 | Bacteria | Proteobacteria | Gammaproteobacteria | Gammaproteobacteria Incertae Sedis | Unknown Family | Acidibacter | NA |
| Seq94 | Bacteria | Proteobacteria | Gammaproteobacteria | Xanthomonadales | Rhodanobacteraceae | Dokdonella | ginsengisoli |
| Seq114 | Bacteria | Proteobacteria | Gammaproteobacteria | Diplorickettsiales | Diplorickettsiaceae | NA | NA |
| Seq235 | Bacteria | Proteobacteria | Gammaproteobacteria | Legionellales | Legionellaceae | Legionella | NA |
$cyan \(cyan\)ps phyloseq-class experiment-level object otu_table() OTU Table: [ 30 taxa and 35 samples ] sample_data() Sample Data: [ 35 samples by 3 sample variables ] tax_table() Taxonomy Table: [ 30 taxa by 7 taxonomic ranks ] phy_tree() Phylogenetic Tree: [ 30 tips and 29 internal nodes ] refseq() DNAStringSet: [ 30 reference sequences ]
\(cyan\)amp ampvis2 object with 5 elements. Summary of OTU table: Samples OTUs Total#Reads Min#Reads Max#Reads Median#Reads 35 30 176073 336 15108 4911 Avg#Reads 5030.66
Assigned taxonomy: Kingdom Phylum Class Order Family Genus Species 30(100%) 30(100%) 30(100%) 30(100%) 30(100%) 29(96.67%) 2(6.67%)
Metadata variables: 4 SampleID, Day, Description, Group
\(cyan\)heat
\(cyan\)heat_rel
\(cyan\)tree
\(cyan\)taxa
| Kingdom | Phylum | Class | Order | Family | Genus | Species | |
|---|---|---|---|---|---|---|---|
| Seq98 | Bacteria | Proteobacteria | Gammaproteobacteria | Burkholderiales | Burkholderiaceae | Burkholderia | telluris |
| Seq64 | Bacteria | Proteobacteria | Alphaproteobacteria | Azospirillales | Inquilinaceae | Inquilinus | ginsengisoli |
| Seq4 | Bacteria | Proteobacteria | Alphaproteobacteria | Azospirillales | Inquilinaceae | Inquilinus | NA |
| Seq244 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Xanthobacteraceae | Pseudorhodoplanes | NA |
| Seq11 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Xanthobacteraceae | Bradyrhizobium | NA |
| Seq74 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Xanthobacteraceae | Bradyrhizobium | NA |
| Seq22 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Xanthobacteraceae | Starkeya | NA |
| Seq45 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Rhizobiaceae | Allorhizobium | NA |
| Seq9 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Rhizobiaceae | Allorhizobium | NA |
| Seq29 | Bacteria | Myxococcota | Polyangia | Nannocystales | Nannocystaceae | Nannocystis | NA |
| Seq239 | Bacteria | Myxococcota | Polyangia | Polyangiales | Polyangiaceae | Labilithrix | NA |
| Seq50 | Bacteria | Actinobacteriota | Actinobacteria | Corynebacteriales | Mycobacteriaceae | Mycobacterium | NA |
| Seq34 | Bacteria | Actinobacteriota | Actinobacteria | Streptosporangiales | Streptosporangiaceae | Herbidospora | NA |
| Seq56 | Bacteria | Firmicutes | Bacilli | Paenibacillales | Paenibacillaceae | Paenibacillus | NA |
| Seq25 | Bacteria | Firmicutes | Bacilli | Bacillales | Bacillaceae | Terribacillus | NA |
| Seq3 | Bacteria | Firmicutes | Bacilli | Bacillales | Bacillaceae | Bacillus | NA |
| Seq5 | Bacteria | Firmicutes | Bacilli | Bacillales | Bacillaceae | Bacillus | NA |
| Seq13 | Bacteria | Firmicutes | Bacilli | Bacillales | Planococcaceae | NA | NA |
| Seq7 | Bacteria | Firmicutes | Bacilli | Bacillales | Planococcaceae | Solibacillus | NA |
| Seq19 | Bacteria | Firmicutes | Bacilli | Bacillales | Planococcaceae | Solibacillus | NA |
| Seq17 | Bacteria | Planctomycetota | Planctomycetes | Isosphaerales | Isosphaeraceae | Singulisphaera | NA |
| Seq324 | Bacteria | Acidobacteriota | Acidobacteriae | Acidobacteriales | Acidobacteriaceae (Subgroup 1) | Edaphobacter | NA |
| Seq16 | Bacteria | Bacteroidota | Bacteroidia | Cytophagales | Microscillaceae | Ohtaekwangia | NA |
| Seq6 | Bacteria | Bacteroidota | Bacteroidia | Cytophagales | Microscillaceae | Ohtaekwangia | NA |
| Seq1 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Chitinophaga | NA |
| Seq109 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Chitinophaga | NA |
| Seq49 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Taibaiella | NA |
| Seq73 | Bacteria | Bacteroidota | Bacteroidia | Cytophagales | Spirosomaceae | Dyadobacter | NA |
| Seq15 | Bacteria | Proteobacteria | Gammaproteobacteria | Xanthomonadales | Rhodanobacteraceae | Luteibacter | NA |
| Seq26 | Bacteria | Proteobacteria | Gammaproteobacteria | Xanthomonadales | Xanthomonadaceae | Luteimonas | NA |
$darkgreen \(darkgreen\)ps phyloseq-class experiment-level object otu_table() OTU Table: [ 44 taxa and 35 samples ] sample_data() Sample Data: [ 35 samples by 3 sample variables ] tax_table() Taxonomy Table: [ 44 taxa by 7 taxonomic ranks ] phy_tree() Phylogenetic Tree: [ 44 tips and 43 internal nodes ] refseq() DNAStringSet: [ 44 reference sequences ]
\(darkgreen\)amp ampvis2 object with 5 elements. Summary of OTU table: Samples OTUs Total#Reads Min#Reads Max#Reads Median#Reads 35 44 12360 0 2468 65 Avg#Reads 353.14
Assigned taxonomy: Kingdom Phylum Class Order Family Genus Species 44(100%) 44(100%) 44(100%) 43(97.73%) 40(90.91%) 24(54.55%) 3(6.82%)
Metadata variables: 4 SampleID, Day, Description, Group
\(darkgreen\)heat
\(darkgreen\)heat_rel
\(darkgreen\)tree
\(darkgreen\)taxa
| Kingdom | Phylum | Class | Order | Family | Genus | Species | |
|---|---|---|---|---|---|---|---|
| Seq342 | Archaea | Crenarchaeota | Nitrososphaeria | Nitrososphaerales | Nitrososphaeraceae | NA | NA |
| Seq196 | Archaea | Crenarchaeota | Nitrososphaeria | Nitrososphaerales | Nitrososphaeraceae | Candidatus Nitrocosmicus | NA |
| Seq276 | Archaea | Crenarchaeota | Nitrososphaeria | Nitrososphaerales | Nitrososphaeraceae | NA | NA |
| Seq419 | Archaea | Crenarchaeota | Nitrososphaeria | Nitrososphaerales | Nitrososphaeraceae | NA | NA |
| Seq454 | Bacteria | Proteobacteria | Gammaproteobacteria | Diplorickettsiales | Diplorickettsiaceae | Aquicella | NA |
| Seq329 | Bacteria | Proteobacteria | Alphaproteobacteria | Sphingomonadales | Sphingomonadaceae | Sphingomonas | jaspsi |
| Seq332 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhodospirillales | Magnetospiraceae | NA | NA |
| Seq429 | Bacteria | Proteobacteria | Alphaproteobacteria | Acetobacterales | Acetobacteraceae | NA | NA |
| Seq195 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Xanthobacteraceae | Pseudorhodoplanes | NA |
| Seq144 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Xanthobacteraceae | Pseudolabrys | NA |
| Seq369 | Bacteria | Proteobacteria | Alphaproteobacteria | Micropepsales | Micropepsaceae | NA | NA |
| Seq362 | Bacteria | Proteobacteria | Alphaproteobacteria | Sphingomonadales | Sphingomonadaceae | Altererythrobacter | NA |
| Seq428 | Bacteria | Proteobacteria | Alphaproteobacteria | Caulobacterales | Caulobacteraceae | Phenylobacterium | NA |
| Seq347 | Bacteria | Nitrospirota | Nitrospiria | Nitrospirales | Nitrospiraceae | Nitrospira | japonica |
| Seq328 | Bacteria | Myxococcota | Polyangia | Haliangiales | Haliangiaceae | Haliangium | NA |
| Seq348 | Bacteria | Myxococcota | Polyangia | Polyangiales | BIrii41 | NA | NA |
| Seq308 | Bacteria | Myxococcota | Polyangia | Polyangiales | BIrii41 | NA | NA |
| Seq256 | Bacteria | Myxococcota | Polyangia | Polyangiales | Polyangiaceae | Minicystis | NA |
| Seq302 | Bacteria | Bdellovibrionota | Oligoflexia | 0319-6G20 | NA | NA | NA |
| Seq435 | Bacteria | Actinobacteriota | Actinobacteria | Propionibacteriales | Propionibacteriaceae | Microlunatus | NA |
| Seq291 | Bacteria | Actinobacteriota | Acidimicrobiia | IMCC26256 | NA | NA | NA |
| Seq392 | Bacteria | Actinobacteriota | Acidimicrobiia | Microtrichales | Ilumatobacteraceae | NA | NA |
| Seq321 | Bacteria | Bacteroidota | Bacteroidia | Sphingobacteriales | NS11-12 marine group | NA | NA |
| Seq186 | Bacteria | Firmicutes | Bacilli | Paenibacillales | Paenibacillaceae | Paenibacillus | NA |
| Seq204 | Bacteria | Firmicutes | Bacilli | Bacillales | Planococcaceae | Paenisporosarcina | NA |
| Seq146 | Bacteria | Spirochaetota | Spirochaetia | Spirochaetales | Spirochaetaceae | Spirochaeta 2 | NA |
| Seq359 | Bacteria | Patescibacteria | Saccharimonadia | Saccharimonadales | LWQ8 | NA | NA |
| Seq269 | Bacteria | Chloroflexi | Chloroflexia | Chloroflexales | Roseiflexaceae | NA | NA |
| Seq267 | Bacteria | Verrucomicrobiota | Verrucomicrobiae | Opitutales | Opitutaceae | Lacunisphaera | NA |
| Seq320 | Bacteria | Verrucomicrobiota | Verrucomicrobiae | Opitutales | Opitutaceae | Opitutus | NA |
| Seq203 | Bacteria | Verrucomicrobiota | Verrucomicrobiae | Chthoniobacterales | Terrimicrobiaceae | Terrimicrobium | NA |
| Seq497 | Bacteria | Planctomycetota | Planctomycetes | Pirellulales | Pirellulaceae | NA | NA |
| Seq384 | Bacteria | Planctomycetota | Planctomycetes | Planctomycetales | NA | NA | NA |
| Seq155 | Bacteria | Acidobacteriota | Blastocatellia | Blastocatellales | Blastocatellaceae | NA | NA |
| Seq350 | Bacteria | Bacteroidota | Bacteroidia | Sphingobacteriales | env.OPS 17 | NA | NA |
| Seq224 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Terrimonas | NA |
| Seq409 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Edaphobaculum | NA |
| Seq337 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Taibaiella | NA |
| Seq494 | Bacteria | Bacteroidota | Bacteroidia | Cytophagales | Amoebophilaceae | Candidatus Amoebophilus | NA |
| Seq277 | Bacteria | Proteobacteria | Gammaproteobacteria | NA | NA | NA | NA |
| Seq191 | Bacteria | Proteobacteria | Gammaproteobacteria | Gammaproteobacteria Incertae Sedis | Unknown Family | Acidibacter | NA |
| Seq335 | Bacteria | Proteobacteria | Gammaproteobacteria | Xanthomonadales | Xanthomonadaceae | Luteimonas | vadosa |
| Seq157 | Bacteria | Proteobacteria | Gammaproteobacteria | Xanthomonadales | Rhodanobacteraceae | Dokdonella | NA |
| Seq385 | Bacteria | Proteobacteria | Gammaproteobacteria | Salinisphaerales | Solimonadaceae | NA | NA |
$plum \(plum\)ps phyloseq-class experiment-level object otu_table() OTU Table: [ 30 taxa and 35 samples ] sample_data() Sample Data: [ 35 samples by 3 sample variables ] tax_table() Taxonomy Table: [ 30 taxa by 7 taxonomic ranks ] phy_tree() Phylogenetic Tree: [ 30 tips and 29 internal nodes ] refseq() DNAStringSet: [ 30 reference sequences ]
\(plum\)amp ampvis2 object with 5 elements. Summary of OTU table: Samples OTUs Total#Reads Min#Reads Max#Reads Median#Reads 35 30 17172 0 3034 103 Avg#Reads 490.63
Assigned taxonomy: Kingdom Phylum Class Order Family Genus Species 30(100%) 30(100%) 30(100%) 30(100%) 27(90%) 16(53.33%) 1(3.33%)
Metadata variables: 4 SampleID, Day, Description, Group
\(plum\)heat
\(plum\)heat_rel
\(plum\)tree
\(plum\)taxa
| Kingdom | Phylum | Class | Order | Family | Genus | Species | |
|---|---|---|---|---|---|---|---|
| Seq161 | Bacteria | Proteobacteria | Gammaproteobacteria | Diplorickettsiales | Diplorickettsiaceae | Aquicella | NA |
| Seq181 | Bacteria | Proteobacteria | Gammaproteobacteria | CCD24 | NA | NA | NA |
| Seq207 | Bacteria | Cyanobacteria | Vampirivibrionia | Obscuribacterales | Obscuribacteraceae | NA | NA |
| Seq219 | Bacteria | Proteobacteria | Alphaproteobacteria | Sphingomonadales | Sphingomonadaceae | Sphingomonas | naasensis |
| Seq216 | Bacteria | Proteobacteria | Alphaproteobacteria | Dongiales | Dongiaceae | Dongia | NA |
| Seq220 | Bacteria | Proteobacteria | Alphaproteobacteria | Reyranellales | Reyranellaceae | Reyranella | NA |
| Seq90 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Xanthobacteraceae | Pseudolabrys | NA |
| Seq271 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Xanthobacteraceae | NA | NA |
| Seq111 | Bacteria | Proteobacteria | Alphaproteobacteria | Sphingomonadales | Sphingomonadaceae | Sphingobium | NA |
| Seq33 | Bacteria | Proteobacteria | Alphaproteobacteria | Caulobacterales | Caulobacteraceae | Caulobacter | NA |
| Seq189 | Bacteria | Actinobacteriota | Thermoleophilia | Solirubrobacterales | Solirubrobacteraceae | Solirubrobacter | NA |
| Seq85 | Bacteria | Myxococcota | Polyangia | Polyangiales | BIrii41 | NA | NA |
| Seq208 | Bacteria | Actinobacteriota | Actinobacteria | Micrococcales | Microbacteriaceae | Galbitalea | NA |
| Seq218 | Bacteria | Bacteroidota | Bacteroidia | Sphingobacteriales | Sphingobacteriaceae | Mucilaginibacter | NA |
| Seq215 | Bacteria | Firmicutes | Bacilli | Bacillales | Bacillaceae | Bacillus | NA |
| Seq177 | Bacteria | Fibrobacterota | Fibrobacteria | Fibrobacterales | Fibrobacteraceae | NA | NA |
| Seq375 | Bacteria | Chloroflexi | Chloroflexia | Thermomicrobiales | JG30-KF-CM45 | NA | NA |
| Seq430 | Bacteria | Planctomycetota | Phycisphaerae | Phycisphaerales | Phycisphaeraceae | NA | NA |
| Seq368 | Bacteria | Planctomycetota | Planctomycetes | Pirellulales | Pirellulaceae | NA | NA |
| Seq152 | Bacteria | Planctomycetota | Planctomycetes | Gemmatales | Gemmataceae | Gemmata | NA |
| Seq304 | Bacteria | Planctomycetota | Planctomycetes | Planctomycetales | NA | NA | NA |
| Seq141 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Terrimonas | NA |
| Seq343 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | NA | NA |
| Seq412 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Edaphobaculum | NA |
| Seq457 | Bacteria | Proteobacteria | Gammaproteobacteria | Coxiellales | Coxiellaceae | Coxiella | NA |
| Seq130 | Bacteria | Proteobacteria | Gammaproteobacteria | R7C24 | NA | NA | NA |
| Seq346 | Bacteria | Proteobacteria | Gammaproteobacteria | Salinisphaerales | Solimonadaceae | Alkanibacter | NA |
| Seq474 | Bacteria | Proteobacteria | Gammaproteobacteria | Diplorickettsiales | Diplorickettsiaceae | NA | NA |
| Seq472 | Bacteria | Proteobacteria | Gammaproteobacteria | Diplorickettsiales | Diplorickettsiaceae | NA | NA |
| Seq227 | Bacteria | Proteobacteria | Gammaproteobacteria | Diplorickettsiales | Diplorickettsiaceae | NA | NA |
$red \(red\)ps phyloseq-class experiment-level object otu_table() OTU Table: [ 75 taxa and 35 samples ] sample_data() Sample Data: [ 35 samples by 3 sample variables ] tax_table() Taxonomy Table: [ 75 taxa by 7 taxonomic ranks ] phy_tree() Phylogenetic Tree: [ 75 tips and 74 internal nodes ] refseq() DNAStringSet: [ 75 reference sequences ]
\(red\)amp ampvis2 object with 5 elements. Summary of OTU table: Samples OTUs Total#Reads Min#Reads Max#Reads Median#Reads 35 75 66650 241 5339 1528 Avg#Reads 1904.29
Assigned taxonomy: Kingdom Phylum Class Order Family Genus Species 75(100%) 75(100%) 75(100%) 74(98.67%) 74(98.67%) 66(88%) 11(14.67%)
Metadata variables: 4 SampleID, Day, Description, Group
\(red\)heat
\(red\)heat_rel
\(red\)tree
\(red\)taxa
| Kingdom | Phylum | Class | Order | Family | Genus | Species | |
|---|---|---|---|---|---|---|---|
| Seq117 | Bacteria | Proteobacteria | Gammaproteobacteria | Burkholderiales | Burkholderiaceae | Burkholderia | NA |
| Seq60 | Bacteria | Proteobacteria | Gammaproteobacteria | Burkholderiales | Alcaligenaceae | NA | NA |
| Seq121 | Bacteria | Proteobacteria | Gammaproteobacteria | Burkholderiales | Comamonadaceae | Variovorax | NA |
| Seq383 | Bacteria | Proteobacteria | Alphaproteobacteria | Ferrovibrionales | Ferrovibrionaceae | Ferrovibrio | soli |
| Seq228 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Xanthobacteraceae | NA | NA |
| Seq178 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Beijerinckiaceae | Methylobacterium-Methylorubrum | NA |
| Seq171 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Beijerinckiaceae | Bosea | thiooxidans |
| Seq341 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Beijerinckiaceae | Bosea | NA |
| Seq89 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Xanthobacteraceae | Tardiphaga | robiniae |
| Seq31 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Xanthobacteraceae | Starkeya | NA |
| Seq160 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Hyphomicrobiaceae | Hyphomicrobium | NA |
| Seq251 | Bacteria | Proteobacteria | Alphaproteobacteria | Sphingomonadales | Sphingomonadaceae | Sphingopyxis | NA |
| Seq373 | Bacteria | Proteobacteria | Alphaproteobacteria | Sphingomonadales | Sphingomonadaceae | Altererythrobacter | NA |
| Seq108 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Rhizobiaceae | Mesorhizobium | NA |
| Seq71 | Bacteria | Actinobacteriota | Thermoleophilia | Solirubrobacterales | Solirubrobacteraceae | Conexibacter | NA |
| Seq338 | Bacteria | Myxococcota | Polyangia | Polyangiales | Polyangiaceae | Pajaroellobacter | NA |
| Seq230 | Bacteria | Myxococcota | Polyangia | Polyangiales | Polyangiaceae | Pajaroellobacter | NA |
| Seq88 | Bacteria | Myxococcota | Polyangia | Polyangiales | Polyangiaceae | Sorangium | NA |
| Seq303 | Bacteria | Actinobacteriota | Acidimicrobiia | Microtrichales | Ilumatobacteraceae | NA | NA |
| Seq93 | Bacteria | Actinobacteriota | Actinobacteria | Micrococcales | Promicromonosporaceae | Promicromonospora | NA |
| Seq366 | Bacteria | Actinobacteriota | Actinobacteria | Micrococcales | Microbacteriaceae | Leifsonia | NA |
| Seq134 | Bacteria | Actinobacteriota | Actinobacteria | Micrococcales | Microbacteriaceae | NA | aoyamense |
| Seq411 | Bacteria | Actinobacteriota | Actinobacteria | Micrococcales | Microbacteriaceae | Agromyces | NA |
| Seq115 | Bacteria | Actinobacteriota | Actinobacteria | Corynebacteriales | Mycobacteriaceae | Mycobacterium | NA |
| Seq128 | Bacteria | Actinobacteriota | Actinobacteria | Streptosporangiales | Streptosporangiaceae | Herbidospora | mongoliensis |
| Seq398 | Bacteria | Actinobacteriota | Actinobacteria | Streptosporangiales | Streptosporangiaceae | Nonomuraea | NA |
| Seq78 | Bacteria | Actinobacteriota | Actinobacteria | Streptosporangiales | Thermomonosporaceae | Actinocorallia | NA |
| Seq193 | Bacteria | Actinobacteriota | Actinobacteria | Streptomycetales | Streptomycetaceae | Streptomyces | NA |
| Seq148 | Bacteria | Bacteroidota | Bacteroidia | Sphingobacteriales | Sphingobacteriaceae | Pedobacter | NA |
| Seq307 | Bacteria | Bacteroidota | Bacteroidia | Sphingobacteriales | NS11-12 marine group | NA | NA |
| Seq431 | Bacteria | Bacteroidota | Bacteroidia | Sphingobacteriales | NS11-12 marine group | NA | NA |
| Seq205 | Bacteria | Firmicutes | Bacilli | Paenibacillales | Paenibacillaceae | Paenibacillus | lautus |
| Seq86 | Bacteria | Firmicutes | Bacilli | Paenibacillales | Paenibacillaceae | Paenibacillus | NA |
| Seq51 | Bacteria | Firmicutes | Bacilli | Paenibacillales | Paenibacillaceae | Paenibacillus | NA |
| Seq18 | Bacteria | Firmicutes | Bacilli | Paenibacillales | Paenibacillaceae | Paenibacillus | NA |
| Seq192 | Bacteria | Firmicutes | Bacilli | Paenibacillales | Paenibacillaceae | Paenibacillus | NA |
| Seq266 | Bacteria | Firmicutes | Bacilli | Paenibacillales | Paenibacillaceae | Paenibacillus | NA |
| Seq278 | Bacteria | Firmicutes | Bacilli | Bacillales | Planococcaceae | Domibacillus | NA |
| Seq99 | Bacteria | Firmicutes | Bacilli | Bacillales | Bacillaceae | Bacillus | NA |
| Seq53 | Bacteria | Firmicutes | Bacilli | Bacillales | Planococcaceae | Lysinibacillus | NA |
| Seq118 | Bacteria | Firmicutes | Bacilli | Bacillales | Planococcaceae | Lysinibacillus | NA |
| Seq76 | Bacteria | Verrucomicrobiota | Verrucomicrobiae | Chthoniobacterales | Terrimicrobiaceae | Terrimicrobium | NA |
| Seq232 | Bacteria | Verrucomicrobiota | Verrucomicrobiae | Chthoniobacterales | Terrimicrobiaceae | Terrimicrobium | NA |
| Seq168 | Bacteria | Verrucomicrobiota | Verrucomicrobiae | Chthoniobacterales | Terrimicrobiaceae | Terrimicrobium | NA |
| Seq387 | Bacteria | Verrucomicrobiota | Verrucomicrobiae | Chthoniobacterales | Chthoniobacteraceae | Chthoniobacter | NA |
| Seq285 | Bacteria | Verrucomicrobiota | Verrucomicrobiae | Chthoniobacterales | Chthoniobacteraceae | Chthoniobacter | NA |
| Seq217 | Bacteria | Verrucomicrobiota | Verrucomicrobiae | Verrucomicrobiales | Verrucomicrobiaceae | Verrucomicrobium | spinosum |
| Seq190 | Bacteria | Planctomycetota | Planctomycetes | Gemmatales | Gemmataceae | Gemmata | NA |
| Seq249 | Bacteria | Planctomycetota | Planctomycetes | Isosphaerales | Isosphaeraceae | Singulisphaera | NA |
| Seq254 | Bacteria | Acidobacteriota | Acidobacteriae | Acidobacteriales | Acidobacteriaceae (Subgroup 1) | Edaphobacter | NA |
| Seq67 | Bacteria | Bacteroidota | Bacteroidia | Cytophagales | Microscillaceae | Ohtaekwangia | NA |
| Seq176 | Bacteria | Bacteroidota | Bacteroidia | Cytophagales | Microscillaceae | Ohtaekwangia | NA |
| Seq268 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Pseudoflavitalea | NA |
| Seq32 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Pseudoflavitalea | NA |
| Seq84 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Pseudoflavitalea | NA |
| Seq459 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Niastella | NA |
| Seq40 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Niastella | hibisci |
| Seq173 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Niastella | NA |
| Seq246 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Niastella | NA |
| Seq112 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Flavitalea | NA |
| Seq126 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Chitinophaga | ginsengihumi |
| Seq102 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Chitinophaga | arvensicola |
| Seq309 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Chitinophaga | soli |
| Seq70 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Chitinophaga | NA |
| Seq262 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Chitinophaga | NA |
| Seq301 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Taibaiella | NA |
| Seq572 | Bacteria | Proteobacteria | Gammaproteobacteria | Pseudomonadales | Moraxellaceae | NA | NA |
| Seq436 | Bacteria | Proteobacteria | Gammaproteobacteria | Steroidobacterales | Steroidobacteraceae | Steroidobacter | NA |
| Seq261 | Bacteria | Proteobacteria | Gammaproteobacteria | Gammaproteobacteria Incertae Sedis | Unknown Family | Acidibacter | NA |
| Seq298 | Bacteria | Proteobacteria | Gammaproteobacteria | Gammaproteobacteria Incertae Sedis | Unknown Family | Acidibacter | NA |
| Seq354 | Bacteria | Proteobacteria | Gammaproteobacteria | Gammaproteobacteria Incertae Sedis | Unknown Family | Acidibacter | NA |
| Seq226 | Bacteria | Proteobacteria | Gammaproteobacteria | Xanthomonadales | Rhodanobacteraceae | Tahibacter | NA |
| Seq147 | Bacteria | Proteobacteria | Gammaproteobacteria | Xanthomonadales | Xanthomonadaceae | Xanthomonas | NA |
| Seq370 | Bacteria | Proteobacteria | Gammaproteobacteria | Diplorickettsiales | Diplorickettsiaceae | NA | NA |
| Seq486 | Bacteria | Proteobacteria | Gammaproteobacteria | NA | NA | NA | NA |
$salmon \(salmon\)ps phyloseq-class experiment-level object otu_table() OTU Table: [ 73 taxa and 35 samples ] sample_data() Sample Data: [ 35 samples by 3 sample variables ] tax_table() Taxonomy Table: [ 73 taxa by 7 taxonomic ranks ] phy_tree() Phylogenetic Tree: [ 73 tips and 72 internal nodes ] refseq() DNAStringSet: [ 73 reference sequences ]
\(salmon\)amp ampvis2 object with 5 elements. Summary of OTU table: Samples OTUs Total#Reads Min#Reads Max#Reads Median#Reads 35 73 115332 0 20534 779 Avg#Reads 3295.2
Assigned taxonomy: Kingdom Phylum Class Order Family Genus Species 73(100%) 73(100%) 73(100%) 72(98.63%) 71(97.26%) 66(90.41%) 12(16.44%)
Metadata variables: 4 SampleID, Day, Description, Group
\(salmon\)heat
\(salmon\)heat_rel
\(salmon\)tree
\(salmon\)taxa
| Kingdom | Phylum | Class | Order | Family | Genus | Species | |
|---|---|---|---|---|---|---|---|
| Seq79 | Bacteria | Proteobacteria | Gammaproteobacteria | Burkholderiales | Oxalobacteraceae | Massilia | armeniaca |
| Seq122 | Bacteria | Proteobacteria | Gammaproteobacteria | Burkholderiales | Oxalobacteraceae | NA | NA |
| Seq179 | Bacteria | Proteobacteria | Gammaproteobacteria | Burkholderiales | Oxalobacteraceae | Pseudoduganella | NA |
| Seq145 | Bacteria | Proteobacteria | Gammaproteobacteria | Burkholderiales | Oxalobacteraceae | Pseudoduganella | eburnea |
| Seq154 | Bacteria | Proteobacteria | Gammaproteobacteria | Burkholderiales | Oxalobacteraceae | Massilia | NA |
| Seq222 | Bacteria | Proteobacteria | Gammaproteobacteria | Burkholderiales | Oxalobacteraceae | Massilia | NA |
| Seq159 | Bacteria | Proteobacteria | Gammaproteobacteria | Burkholderiales | Burkholderiaceae | Cupriavidus | NA |
| Seq8 | Bacteria | Proteobacteria | Gammaproteobacteria | Burkholderiales | Burkholderiaceae | Cupriavidus | NA |
| Seq14 | Bacteria | Proteobacteria | Gammaproteobacteria | Burkholderiales | Alcaligenaceae | Achromobacter | NA |
| Seq54 | Bacteria | Proteobacteria | Gammaproteobacteria | Burkholderiales | Comamonadaceae | NA | paradoxus |
| Seq95 | Bacteria | Proteobacteria | Gammaproteobacteria | Burkholderiales | Comamonadaceae | Xylophilus | NA |
| Seq340 | Bacteria | Proteobacteria | Gammaproteobacteria | Burkholderiales | Comamonadaceae | Rhizobacter | NA |
| Seq264 | Bacteria | Proteobacteria | Alphaproteobacteria | Sphingomonadales | Sphingomonadaceae | Sphingomonas | mucosissima |
| Seq333 | Bacteria | Proteobacteria | Alphaproteobacteria | Reyranellales | Reyranellaceae | Reyranella | NA |
| Seq158 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Beijerinckiaceae | Microvirga | NA |
| Seq248 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Rhizobiaceae | Allorhizobium | NA |
| Seq245 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Devosiaceae | Devosia | neptuniae |
| Seq185 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Rhizobiaceae | Shinella | NA |
| Seq156 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Rhizobiaceae | NA | NA |
| Seq42 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Rhizobiaceae | NA | NA |
| Seq286 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Rhizobiaceae | Ensifer | NA |
| Seq21 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Rhizobiaceae | Allorhizobium | NA |
| Seq107 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Rhizobiaceae | Neorhizobium | NA |
| Seq231 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Rhizobiaceae | Allorhizobium | azooxidifex |
| Seq140 | Bacteria | Proteobacteria | Alphaproteobacteria | Rhizobiales | Rhizobiaceae | NA | NA |
| Seq378 | Bacteria | Proteobacteria | Alphaproteobacteria | Caulobacterales | Caulobacteraceae | Phenylobacterium | mobile |
| Seq374 | Bacteria | Myxococcota | Polyangia | Haliangiales | Haliangiaceae | Haliangium | NA |
| Seq257 | Bacteria | Myxococcota | Polyangia | Polyangiales | Polyangiaceae | Pajaroellobacter | NA |
| Seq223 | Bacteria | Actinobacteriota | Actinobacteria | Micrococcales | Promicromonosporaceae | Cellulosimicrobium | NA |
| Seq83 | Bacteria | Actinobacteriota | Actinobacteria | Micrococcales | Microbacteriaceae | Microbacterium | NA |
| Seq68 | Bacteria | Actinobacteriota | Actinobacteria | Corynebacteriales | Mycobacteriaceae | Mycobacterium | NA |
| Seq293 | Bacteria | Actinobacteriota | Actinobacteria | Glycomycetales | Glycomycetaceae | Glycomyces | NA |
| Seq72 | Bacteria | Actinobacteriota | Actinobacteria | Streptomycetales | Streptomycetaceae | Streptomyces | NA |
| Seq101 | Bacteria | Actinobacteriota | Actinobacteria | Streptomycetales | Streptomycetaceae | Streptomyces | NA |
| Seq265 | Bacteria | Actinobacteriota | Actinobacteria | Streptomycetales | Streptomycetaceae | Streptomyces | NA |
| Seq260 | Bacteria | Bacteroidota | Bacteroidia | Sphingobacteriales | NA | NA | NA |
| Seq180 | Bacteria | Bacteroidota | Bacteroidia | Sphingobacteriales | Sphingobacteriaceae | Pedobacter | panaciterrae |
| Seq142 | Bacteria | Verrucomicrobiota | Verrucomicrobiae | Verrucomicrobiales | Verrucomicrobiaceae | Roseimicrobium | NA |
| Seq163 | Bacteria | Bacteroidota | Bacteroidia | Cytophagales | Microscillaceae | Ohtaekwangia | NA |
| Seq253 | Bacteria | Bacteroidota | Bacteroidia | Cytophagales | Microscillaceae | Ohtaekwangia | NA |
| Seq116 | Bacteria | Bacteroidota | Bacteroidia | Cytophagales | Microscillaceae | Ohtaekwangia | NA |
| Seq184 | Bacteria | Bacteroidota | Bacteroidia | Cytophagales | Microscillaceae | Ohtaekwangia | NA |
| Seq52 | Bacteria | Bacteroidota | Bacteroidia | Flavobacteriales | Flavobacteriaceae | Flavobacterium | NA |
| Seq187 | Bacteria | Bacteroidota | Bacteroidia | Flavobacteriales | Weeksellaceae | Chryseobacterium | ginsenosidimutans |
| Seq172 | Bacteria | Bacteroidota | Bacteroidia | Flavobacteriales | Weeksellaceae | Chryseobacterium | NA |
| Seq283 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Flavitalea | NA |
| Seq113 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Niastella | NA |
| Seq110 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Niastella | NA |
| Seq132 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Pseudoflavitalea | NA |
| Seq37 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Chitinophaga | NA |
| Seq162 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Chitinophaga | NA |
| Seq182 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Chitinophaga | humicola |
| Seq92 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Chitinophaga | NA |
| Seq80 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Chitinophaga | pinensis |
| Seq2 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Chitinophaga | NA |
| Seq221 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Chitinophaga | NA |
| Seq20 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Chitinophaga | NA |
| Seq282 | Bacteria | Bacteroidota | Bacteroidia | Chitinophagales | Chitinophagaceae | Chitinophaga | NA |
| Seq38 | Bacteria | Bacteroidota | Bacteroidia | Cytophagales | Spirosomaceae | Dyadobacter | NA |
| Seq237 | Bacteria | Proteobacteria | Gammaproteobacteria | Steroidobacterales | Steroidobacteraceae | Steroidobacter | agariperforans |
| Seq234 | Bacteria | Proteobacteria | Gammaproteobacteria | Xanthomonadales | Xanthomonadaceae | Pseudoxanthomonas | NA |
| Seq59 | Bacteria | Proteobacteria | Gammaproteobacteria | Xanthomonadales | Xanthomonadaceae | Stenotrophomonas | NA |
| Seq105 | Bacteria | Proteobacteria | Gammaproteobacteria | Xanthomonadales | Xanthomonadaceae | Stenotrophomonas | NA |
| Seq344 | Bacteria | Proteobacteria | Gammaproteobacteria | Xanthomonadales | Xanthomonadaceae | Lysobacter | NA |
| Seq41 | Bacteria | Proteobacteria | Gammaproteobacteria | Xanthomonadales | Xanthomonadaceae | Lysobacter | NA |
| Seq243 | Bacteria | Proteobacteria | Gammaproteobacteria | NA | NA | NA | NA |
| Seq406 | Bacteria | Proteobacteria | Gammaproteobacteria | Legionellales | Legionellaceae | Legionella | NA |
| Seq139 | Bacteria | Proteobacteria | Gammaproteobacteria | Pseudomonadales | Pseudomonadaceae | Pseudomonas | NA |
| Seq24 | Bacteria | Proteobacteria | Gammaproteobacteria | Pseudomonadales | Pseudomonadaceae | Pseudomonas | NA |
| Seq27 | Bacteria | Proteobacteria | Gammaproteobacteria | Pseudomonadales | Pseudomonadaceae | Pseudomonas | NA |
| Seq87 | Bacteria | Proteobacteria | Gammaproteobacteria | Pseudomonadales | Pseudomonadaceae | Pseudomonas | NA |
| Seq55 | Bacteria | Proteobacteria | Gammaproteobacteria | Pseudomonadales | Pseudomonadaceae | Pseudomonas | NA |
| Seq201 | Bacteria | Proteobacteria | Gammaproteobacteria | Enterobacterales | Enterobacteriaceae | Klebsiella | NA |
0.7 Add a metadata
IN_WORK!!
list.files("meta/")## [1] "cell_realtime_stat.xlsx" "cell_resp_ch_stat.xlsx"
## [3] "period_legend.xlsx"period_legend - соответствие номеров мешочков в 16S с днями, думаю лучше заменить везде обозначения 1, 3 и тд на дни cell_resp - данные по дыханию, по ним какую-нибудь простую статистику. Да, повторностей для эксперимента и контроля разное количество cell_realtime - это циклы выхода целлюлаз по реалтайму, я их нормировала по 16S, есть в этой же таблице. Что с ними делать особо не знаю, вроде вообще решили выкинуть
realtime.data <- readxl::read_excel("meta/cell_realtime_stat.xlsx")
period.data <- readxl::read_excel("meta/period_legend.xlsx")
resp.data <- readxl::read_excel("meta/cell_resp_ch_stat.xlsx")
realtime.data## # A tibble: 36 × 29
## id day contr…¹ CELL_…² CELL_…³ CELL_…⁴ CELL_…⁵ CELL_…⁶ CELL_…⁷ CELL_…⁸
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 G01-1-1 3 15.6 33.2 31.1 33.6 36.6 33.8 38.0 33.0
## 2 G01-1-2 3 15.5 33.3 31.3 32.9 36.2 33.8 41 32.7
## 3 G01-1-3 3 15.5 33.6 31.2 32.9 35.8 33.3 38.2 32.9
## 4 G01-2-1 3 17.1 36.0 31.1 33.1 36.9 36.4 38.8 33.8
## 5 G01-2-2 3 17.3 35.6 31.0 32.8 37.8 35.7 40.1 33.6
## 6 G01-2-3 3 17.1 36 31.1 32.8 38.1 35.2 37.6 33.6
## 7 G01-3-1 3 16.4 35.4 31.6 34.9 39.1 35.3 40.9 33.2
## 8 G01-3-2 3 16.5 35.6 31.3 34.4 37.9 34.6 38.9 33.1
## 9 G01-3-3 3 16.4 35.8 31.5 34.4 41.6 35.0 36.5 33.4
## 10 G05-1-1 28 18.2 26.3 29.1 29.4 28.2 28.4 37.4 34.5
## # … with 26 more rows, 19 more variables: CELL_193122 <dbl>, CELL_73229 <dbl>,
## # CELL_47814 <dbl>, CELL_163125 <dbl>, CELL_73266 <dbl>, CELL_88582 <dbl>,
## # CELL_63583 <dbl>, CELL_14199 <dbl>, CELL_95616 <dbl>, CELL_63504 <dbl>,
## # CELL_08643 <chr>, CELL_199599 <dbl>, CELL_01426 <dbl>, CELL_71601 <dbl>,
## # CELL_45099 <dbl>, CELL_191900 <dbl>, CELL_99463 <dbl>, CELL_74579 <dbl>,
## # CELL_183403 <dbl>, and abbreviated variable names ¹contr_16S, ²CELL_172283,
## # ³CELL_203163, ⁴CELL_83325, ⁵CELL_188413, ⁶CELL_109631, ⁷CELL_188119, …impute.mean <- function(x) replace(x, is.na(x), mean(x, na.rm = TRUE))
realtime_data <- realtime.data %>%
mutate(CELL_08643 = as.numeric(CELL_08643)) %>%
group_by(day) %>%
mutate(nice_cell = impute.mean(CELL_08643)) %>%
mutate(day = as.factor(day))## Warning in mask$eval_all_mutate(quo): NAs introduced by coercionrealtime_data## # A tibble: 36 × 30
## # Groups: day [4]
## id day contr…¹ CELL_…² CELL_…³ CELL_…⁴ CELL_…⁵ CELL_…⁶ CELL_…⁷ CELL_…⁸
## <chr> <fct> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 G01-1-1 3 15.6 33.2 31.1 33.6 36.6 33.8 38.0 33.0
## 2 G01-1-2 3 15.5 33.3 31.3 32.9 36.2 33.8 41 32.7
## 3 G01-1-3 3 15.5 33.6 31.2 32.9 35.8 33.3 38.2 32.9
## 4 G01-2-1 3 17.1 36.0 31.1 33.1 36.9 36.4 38.8 33.8
## 5 G01-2-2 3 17.3 35.6 31.0 32.8 37.8 35.7 40.1 33.6
## 6 G01-2-3 3 17.1 36 31.1 32.8 38.1 35.2 37.6 33.6
## 7 G01-3-1 3 16.4 35.4 31.6 34.9 39.1 35.3 40.9 33.2
## 8 G01-3-2 3 16.5 35.6 31.3 34.4 37.9 34.6 38.9 33.1
## 9 G01-3-3 3 16.4 35.8 31.5 34.4 41.6 35.0 36.5 33.4
## 10 G05-1-1 28 18.2 26.3 29.1 29.4 28.2 28.4 37.4 34.5
## # … with 26 more rows, 20 more variables: CELL_193122 <dbl>, CELL_73229 <dbl>,
## # CELL_47814 <dbl>, CELL_163125 <dbl>, CELL_73266 <dbl>, CELL_88582 <dbl>,
## # CELL_63583 <dbl>, CELL_14199 <dbl>, CELL_95616 <dbl>, CELL_63504 <dbl>,
## # CELL_08643 <dbl>, CELL_199599 <dbl>, CELL_01426 <dbl>, CELL_71601 <dbl>,
## # CELL_45099 <dbl>, CELL_191900 <dbl>, CELL_99463 <dbl>, CELL_74579 <dbl>,
## # CELL_183403 <dbl>, nice_cell <dbl>, and abbreviated variable names
## # ¹contr_16S, ²CELL_172283, ³CELL_203163, ⁴CELL_83325, ⁵CELL_188413, …resp_data <- resp.data %>%
group_by(day) %>%
mutate(control = impute.mean(control)) %>%
mutate(straw = impute.mean(straw))
resp_data## # A tibble: 164 × 3
## # Groups: day [27]
## day control straw
## <dbl> <dbl> <dbl>
## 1 0 250 250
## 2 3 285. 723.
## 3 3 263. 832.
## 4 3 131. 657.
## 5 3 307. 525.
## 6 3 241. 744.
## 7 3 245. 701.
## 8 3 245. 657.
## 9 7 274. 690.
## 10 7 296. 690.
## # … with 154 more rows0.7.1 Knee plot
Дыхание - median(straw)/median(control)
Mожно использовать сторонний пакет(KneeArrower) что понять в каком месте knee_plot происходит перелом. Для элиминации повторностей возьмем медиану. Я хз как этот пакет работает(ищет производную, но как сглаживает - хз, там матан), но он говорит что перелом происходит скорее на 60-80 днях.
(я исправил ошибки - стало ближе к твоим данным)
https://github.com/agentlans/KneeArrower - вот здесь можно почитать про матан
# resp_data %>%
# filter(!day == 0) %>%
# group_by(day) %>%
# summarise(median_control = median(control),
# median_straw = median(straw)) %>%
# mutate(rel = median_straw/median_control) %>%
# ggplot() +
# geom_point(aes(x = day, y = rel))
resp_median <- resp_data %>%
filter(!day == 0) %>%
group_by(day) %>%
summarise(median_control = median(control),
median_straw = median(straw)) %>%
mutate(rel = median_straw/median_control)
thresholds <- c(0.25, 0.5, 0.75, 1)
# Find cutoff points at each threshold
cutoff.points <- lapply(thresholds, function(i) {
findCutoff(resp_median$day, resp_median$rel, method="first", i)
})
x.coord <- sapply(cutoff.points, function(p) p$x)
y.coord <- sapply(cutoff.points, function(p) p$y)
# Plot the cutoff points on the scatterplot
plot(resp_median$day, resp_median$rel, pch=20, col="gray")
points(x.coord, y.coord, col="red", pch=20)
text(x.coord, y.coord, labels=thresholds, pos=4, col="red")
period.data## # A tibble: 15 × 2
## bag_id day
## <dbl> <dbl>
## 1 1 3
## 2 2 7
## 3 3 14
## 4 4 21
## 5 5 28
## 6 6 35
## 7 7 49
## 8 8 63
## 9 9 77
## 10 10 91
## 11 11 105
## 12 12 119
## 13 13 140
## 14 14 161
## 15 15 1820.8 Export all phyloseq object in one table
IN_WORK!!!
В табличке есть колонка cluster - “exl” в ней обозначает что это та часть датасета которая не пошла в WGCNA - мажоры в единичных семплах.
ps.m <- phyloseq::psmelt(ps.f)
ps.m <- ps.m %>%
mutate_if(is.character, as.factor)
ps.data.out <- ps.m %>%
select(-Group) %>%
pivot_wider(names_from = c(Day, Description, Sample), values_from = Abundance, values_fill = 0)
#create empty dataframe with columnnames
external_empty_dataframe <- data.frame(OTU=factor(), cluster=factor(), stringsAsFactors = FALSE)
for (i in names(l_vst)) {
a <- taxa_names(l_vst[[i]][["ps"]])
b <- rep(i, length(a))
d <- data.frame(OTU = as.factor(a),
cluster = as.factor(b))
external_empty_dataframe <- rbind(external_empty_dataframe, d)
}
clusters.otu.df <- external_empty_dataframe
# add exl taxa -- taxa "exl"
d <- data.frame(OTU = as.factor(ps.exl.taxa),
cluster = as.factor(rep("exl", length(ps.exl.taxa))))
clusters.otu.df <- rbind(clusters.otu.df, d)
ps.data.out.exl <- left_join(clusters.otu.df, ps.data.out, by="OTU")
# write.table(ps.data.out.exl, file = "ps.data.out.tsv", sep = "\t")
ps.data.out.exl## OTU cluster Kingdom Phylum Class
## 1 Seq314 blue Bacteria Cyanobacteria Vampirivibrionia
## 2 Seq23 blue Bacteria Cyanobacteria Vampirivibrionia
## 3 Seq65 blue Bacteria Proteobacteria Alphaproteobacteria
## 4 Seq188 blue Bacteria Proteobacteria Alphaproteobacteria
## 5 Seq334 blue Bacteria Proteobacteria Alphaproteobacteria
## 6 Seq75 blue Bacteria Proteobacteria Alphaproteobacteria
## 7 Seq167 blue Bacteria Proteobacteria Alphaproteobacteria
## 8 Seq273 blue Bacteria Proteobacteria Alphaproteobacteria
## 9 Seq131 blue Bacteria Proteobacteria Alphaproteobacteria
## 10 Seq138 blue Bacteria Proteobacteria Alphaproteobacteria
## 11 Seq104 blue Bacteria Proteobacteria Alphaproteobacteria
## 12 Seq129 blue Bacteria Proteobacteria Alphaproteobacteria
## 13 Seq28 blue Bacteria Proteobacteria Alphaproteobacteria
## 14 Seq360 blue Bacteria Proteobacteria Alphaproteobacteria
## 15 Seq292 blue Bacteria Proteobacteria Alphaproteobacteria
## 16 Seq166 blue Bacteria Proteobacteria Alphaproteobacteria
## 17 Seq39 blue Bacteria Gemmatimonadota Gemmatimonadetes
## 18 Seq30 blue Bacteria Actinobacteriota Thermoleophilia
## 19 Seq151 blue Bacteria Actinobacteriota Thermoleophilia
## 20 Seq250 blue Bacteria Actinobacteriota Thermoleophilia
## 21 Seq135 blue Bacteria Myxococcota Polyangia
## 22 Seq46 blue Bacteria Myxococcota Polyangia
## 23 Seq35 blue Bacteria Myxococcota Polyangia
## 24 Seq106 blue Bacteria Myxococcota Polyangia
## 25 Seq345 blue Bacteria Bdellovibrionota Oligoflexia
## 26 Seq198 blue Bacteria Bdellovibrionota Bdellovibrionia
## 27 Seq97 blue Bacteria Bdellovibrionota Bdellovibrionia
## 28 Seq183 blue Bacteria Dependentiae Babeliae
## 29 Seq424 blue Bacteria Actinobacteriota Actinobacteria
## 30 Seq136 blue Bacteria Actinobacteriota Acidimicrobiia
## 31 Seq174 blue Bacteria Actinobacteriota Acidimicrobiia
## 32 Seq43 blue Bacteria Actinobacteriota Actinobacteria
## 33 Seq420 blue Bacteria Actinobacteriota Actinobacteria
## 34 Seq127 blue Bacteria Actinobacteriota Actinobacteria
## 35 Seq288 blue Bacteria Actinobacteriota Actinobacteria
## 36 Seq449 blue Bacteria Actinobacteriota Actinobacteria
## 37 Seq91 blue Bacteria Bacteroidota Bacteroidia
## 38 Seq149 blue Bacteria Bacteroidota Bacteroidia
## 39 Seq169 blue Bacteria Bacteroidota Bacteroidia
## 40 Seq81 blue Bacteria Bacteroidota Bacteroidia
## 41 Seq211 blue Bacteria Bacteroidota Bacteroidia
## 42 Seq119 blue Bacteria Bacteroidota Bacteroidia
## 43 Seq77 blue Bacteria Spirochaetota Spirochaetia
## 44 Seq175 blue Bacteria Spirochaetota Spirochaetia
## 45 Seq305 blue Bacteria Chloroflexi Anaerolineae
## 46 Seq379 blue Bacteria Chloroflexi Chloroflexia
## 47 Seq165 blue Bacteria Chloroflexi Chloroflexia
## 48 Seq327 blue Bacteria Chloroflexi Chloroflexia
## 49 Seq252 blue Bacteria Armatimonadota Fimbriimonadia
## 50 Seq382 blue Bacteria Verrucomicrobiota Verrucomicrobiae
## 51 Seq123 blue Bacteria Verrucomicrobiota Verrucomicrobiae
## 52 Seq124 blue Bacteria Verrucomicrobiota Verrucomicrobiae
## 53 Seq325 blue Bacteria Verrucomicrobiota Verrucomicrobiae
## 54 Seq272 blue Bacteria Verrucomicrobiota Verrucomicrobiae
## 55 Seq402 blue Bacteria Verrucomicrobiota Verrucomicrobiae
## 56 Seq322 blue Bacteria Planctomycetota Planctomycetes
## 57 Seq356 blue Bacteria Planctomycetota Planctomycetes
## 58 Seq259 blue Bacteria Planctomycetota Planctomycetes
## 59 Seq279 blue Bacteria Planctomycetota Planctomycetes
## 60 Seq214 blue Bacteria Planctomycetota Planctomycetes
## 61 Seq209 blue Bacteria Planctomycetota Planctomycetes
## 62 Seq229 blue Bacteria Acidobacteriota Vicinamibacteria
## 63 Seq275 blue Bacteria Acidobacteriota Vicinamibacteria
## 64 Seq247 blue Bacteria Acidobacteriota Vicinamibacteria
## 65 Seq316 blue Bacteria Bacteroidota Kapabacteria
## 66 Seq371 blue Bacteria Bacteroidota Bacteroidia
## 67 Seq12 blue Bacteria Bacteroidota Bacteroidia
## 68 Seq153 blue Bacteria Bacteroidota Bacteroidia
## 69 Seq326 blue Bacteria Bacteroidota Bacteroidia
## 70 Seq10 blue Bacteria Bacteroidota Bacteroidia
## 71 Seq82 blue Bacteria Bacteroidota Bacteroidia
## 72 Seq462 blue Bacteria Bacteroidota Bacteroidia
## 73 Seq150 blue Bacteria Bacteroidota Bacteroidia
## 74 Seq290 blue Bacteria Bacteroidota Bacteroidia
## 75 Seq339 blue Bacteria Bacteroidota Bacteroidia
## 76 Seq120 blue Bacteria Bacteroidota Bacteroidia
## 77 Seq233 blue Bacteria Proteobacteria Gammaproteobacteria
## 78 Seq133 blue Bacteria Proteobacteria Gammaproteobacteria
## 79 Seq349 blue Bacteria Proteobacteria Gammaproteobacteria
## 80 Seq315 blue Bacteria Proteobacteria Gammaproteobacteria
## 81 Seq57 blue Bacteria Proteobacteria Gammaproteobacteria
## 82 Seq96 blue Bacteria Proteobacteria Gammaproteobacteria
## 83 Seq170 blue Bacteria Proteobacteria Gammaproteobacteria
## 84 Seq94 blue Bacteria Proteobacteria Gammaproteobacteria
## 85 Seq114 blue Bacteria Proteobacteria Gammaproteobacteria
## 86 Seq235 blue Bacteria Proteobacteria Gammaproteobacteria
## 87 Seq98 cyan Bacteria Proteobacteria Gammaproteobacteria
## 88 Seq64 cyan Bacteria Proteobacteria Alphaproteobacteria
## 89 Seq4 cyan Bacteria Proteobacteria Alphaproteobacteria
## 90 Seq244 cyan Bacteria Proteobacteria Alphaproteobacteria
## 91 Seq11 cyan Bacteria Proteobacteria Alphaproteobacteria
## 92 Seq74 cyan Bacteria Proteobacteria Alphaproteobacteria
## 93 Seq22 cyan Bacteria Proteobacteria Alphaproteobacteria
## 94 Seq45 cyan Bacteria Proteobacteria Alphaproteobacteria
## 95 Seq9 cyan Bacteria Proteobacteria Alphaproteobacteria
## 96 Seq29 cyan Bacteria Myxococcota Polyangia
## 97 Seq239 cyan Bacteria Myxococcota Polyangia
## 98 Seq50 cyan Bacteria Actinobacteriota Actinobacteria
## 99 Seq34 cyan Bacteria Actinobacteriota Actinobacteria
## 100 Seq56 cyan Bacteria Firmicutes Bacilli
## 101 Seq25 cyan Bacteria Firmicutes Bacilli
## 102 Seq3 cyan Bacteria Firmicutes Bacilli
## 103 Seq5 cyan Bacteria Firmicutes Bacilli
## 104 Seq13 cyan Bacteria Firmicutes Bacilli
## 105 Seq7 cyan Bacteria Firmicutes Bacilli
## 106 Seq19 cyan Bacteria Firmicutes Bacilli
## 107 Seq17 cyan Bacteria Planctomycetota Planctomycetes
## 108 Seq324 cyan Bacteria Acidobacteriota Acidobacteriae
## 109 Seq16 cyan Bacteria Bacteroidota Bacteroidia
## 110 Seq6 cyan Bacteria Bacteroidota Bacteroidia
## 111 Seq1 cyan Bacteria Bacteroidota Bacteroidia
## 112 Seq109 cyan Bacteria Bacteroidota Bacteroidia
## 113 Seq49 cyan Bacteria Bacteroidota Bacteroidia
## 114 Seq73 cyan Bacteria Bacteroidota Bacteroidia
## 115 Seq15 cyan Bacteria Proteobacteria Gammaproteobacteria
## 116 Seq26 cyan Bacteria Proteobacteria Gammaproteobacteria
## 117 Seq342 darkgreen Archaea Crenarchaeota Nitrososphaeria
## 118 Seq196 darkgreen Archaea Crenarchaeota Nitrososphaeria
## 119 Seq276 darkgreen Archaea Crenarchaeota Nitrososphaeria
## 120 Seq419 darkgreen Archaea Crenarchaeota Nitrososphaeria
## 121 Seq454 darkgreen Bacteria Proteobacteria Gammaproteobacteria
## 122 Seq329 darkgreen Bacteria Proteobacteria Alphaproteobacteria
## 123 Seq332 darkgreen Bacteria Proteobacteria Alphaproteobacteria
## 124 Seq429 darkgreen Bacteria Proteobacteria Alphaproteobacteria
## 125 Seq195 darkgreen Bacteria Proteobacteria Alphaproteobacteria
## 126 Seq144 darkgreen Bacteria Proteobacteria Alphaproteobacteria
## 127 Seq369 darkgreen Bacteria Proteobacteria Alphaproteobacteria
## 128 Seq362 darkgreen Bacteria Proteobacteria Alphaproteobacteria
## 129 Seq428 darkgreen Bacteria Proteobacteria Alphaproteobacteria
## 130 Seq347 darkgreen Bacteria Nitrospirota Nitrospiria
## 131 Seq328 darkgreen Bacteria Myxococcota Polyangia
## 132 Seq348 darkgreen Bacteria Myxococcota Polyangia
## 133 Seq308 darkgreen Bacteria Myxococcota Polyangia
## 134 Seq256 darkgreen Bacteria Myxococcota Polyangia
## 135 Seq302 darkgreen Bacteria Bdellovibrionota Oligoflexia
## 136 Seq435 darkgreen Bacteria Actinobacteriota Actinobacteria
## 137 Seq291 darkgreen Bacteria Actinobacteriota Acidimicrobiia
## 138 Seq392 darkgreen Bacteria Actinobacteriota Acidimicrobiia
## 139 Seq321 darkgreen Bacteria Bacteroidota Bacteroidia
## 140 Seq186 darkgreen Bacteria Firmicutes Bacilli
## 141 Seq204 darkgreen Bacteria Firmicutes Bacilli
## 142 Seq146 darkgreen Bacteria Spirochaetota Spirochaetia
## 143 Seq359 darkgreen Bacteria Patescibacteria Saccharimonadia
## 144 Seq269 darkgreen Bacteria Chloroflexi Chloroflexia
## 145 Seq267 darkgreen Bacteria Verrucomicrobiota Verrucomicrobiae
## 146 Seq320 darkgreen Bacteria Verrucomicrobiota Verrucomicrobiae
## 147 Seq203 darkgreen Bacteria Verrucomicrobiota Verrucomicrobiae
## 148 Seq497 darkgreen Bacteria Planctomycetota Planctomycetes
## 149 Seq384 darkgreen Bacteria Planctomycetota Planctomycetes
## 150 Seq155 darkgreen Bacteria Acidobacteriota Blastocatellia
## 151 Seq350 darkgreen Bacteria Bacteroidota Bacteroidia
## 152 Seq224 darkgreen Bacteria Bacteroidota Bacteroidia
## 153 Seq409 darkgreen Bacteria Bacteroidota Bacteroidia
## 154 Seq337 darkgreen Bacteria Bacteroidota Bacteroidia
## 155 Seq494 darkgreen Bacteria Bacteroidota Bacteroidia
## 156 Seq277 darkgreen Bacteria Proteobacteria Gammaproteobacteria
## 157 Seq191 darkgreen Bacteria Proteobacteria Gammaproteobacteria
## 158 Seq335 darkgreen Bacteria Proteobacteria Gammaproteobacteria
## 159 Seq157 darkgreen Bacteria Proteobacteria Gammaproteobacteria
## 160 Seq385 darkgreen Bacteria Proteobacteria Gammaproteobacteria
## 161 Seq161 plum Bacteria Proteobacteria Gammaproteobacteria
## 162 Seq181 plum Bacteria Proteobacteria Gammaproteobacteria
## 163 Seq207 plum Bacteria Cyanobacteria Vampirivibrionia
## 164 Seq219 plum Bacteria Proteobacteria Alphaproteobacteria
## 165 Seq216 plum Bacteria Proteobacteria Alphaproteobacteria
## 166 Seq220 plum Bacteria Proteobacteria Alphaproteobacteria
## 167 Seq90 plum Bacteria Proteobacteria Alphaproteobacteria
## 168 Seq271 plum Bacteria Proteobacteria Alphaproteobacteria
## 169 Seq111 plum Bacteria Proteobacteria Alphaproteobacteria
## 170 Seq33 plum Bacteria Proteobacteria Alphaproteobacteria
## 171 Seq189 plum Bacteria Actinobacteriota Thermoleophilia
## 172 Seq85 plum Bacteria Myxococcota Polyangia
## 173 Seq208 plum Bacteria Actinobacteriota Actinobacteria
## 174 Seq218 plum Bacteria Bacteroidota Bacteroidia
## 175 Seq215 plum Bacteria Firmicutes Bacilli
## 176 Seq177 plum Bacteria Fibrobacterota Fibrobacteria
## 177 Seq375 plum Bacteria Chloroflexi Chloroflexia
## 178 Seq430 plum Bacteria Planctomycetota Phycisphaerae
## 179 Seq368 plum Bacteria Planctomycetota Planctomycetes
## 180 Seq152 plum Bacteria Planctomycetota Planctomycetes
## 181 Seq304 plum Bacteria Planctomycetota Planctomycetes
## 182 Seq141 plum Bacteria Bacteroidota Bacteroidia
## 183 Seq343 plum Bacteria Bacteroidota Bacteroidia
## 184 Seq412 plum Bacteria Bacteroidota Bacteroidia
## 185 Seq457 plum Bacteria Proteobacteria Gammaproteobacteria
## 186 Seq130 plum Bacteria Proteobacteria Gammaproteobacteria
## 187 Seq346 plum Bacteria Proteobacteria Gammaproteobacteria
## 188 Seq474 plum Bacteria Proteobacteria Gammaproteobacteria
## 189 Seq472 plum Bacteria Proteobacteria Gammaproteobacteria
## 190 Seq227 plum Bacteria Proteobacteria Gammaproteobacteria
## 191 Seq117 red Bacteria Proteobacteria Gammaproteobacteria
## 192 Seq60 red Bacteria Proteobacteria Gammaproteobacteria
## 193 Seq121 red Bacteria Proteobacteria Gammaproteobacteria
## 194 Seq383 red Bacteria Proteobacteria Alphaproteobacteria
## 195 Seq228 red Bacteria Proteobacteria Alphaproteobacteria
## 196 Seq178 red Bacteria Proteobacteria Alphaproteobacteria
## 197 Seq171 red Bacteria Proteobacteria Alphaproteobacteria
## 198 Seq341 red Bacteria Proteobacteria Alphaproteobacteria
## 199 Seq89 red Bacteria Proteobacteria Alphaproteobacteria
## 200 Seq31 red Bacteria Proteobacteria Alphaproteobacteria
## 201 Seq160 red Bacteria Proteobacteria Alphaproteobacteria
## 202 Seq251 red Bacteria Proteobacteria Alphaproteobacteria
## 203 Seq373 red Bacteria Proteobacteria Alphaproteobacteria
## 204 Seq108 red Bacteria Proteobacteria Alphaproteobacteria
## 205 Seq71 red Bacteria Actinobacteriota Thermoleophilia
## 206 Seq338 red Bacteria Myxococcota Polyangia
## 207 Seq230 red Bacteria Myxococcota Polyangia
## 208 Seq88 red Bacteria Myxococcota Polyangia
## 209 Seq303 red Bacteria Actinobacteriota Acidimicrobiia
## 210 Seq93 red Bacteria Actinobacteriota Actinobacteria
## 211 Seq366 red Bacteria Actinobacteriota Actinobacteria
## 212 Seq134 red Bacteria Actinobacteriota Actinobacteria
## 213 Seq411 red Bacteria Actinobacteriota Actinobacteria
## 214 Seq115 red Bacteria Actinobacteriota Actinobacteria
## 215 Seq128 red Bacteria Actinobacteriota Actinobacteria
## 216 Seq398 red Bacteria Actinobacteriota Actinobacteria
## 217 Seq78 red Bacteria Actinobacteriota Actinobacteria
## 218 Seq193 red Bacteria Actinobacteriota Actinobacteria
## 219 Seq148 red Bacteria Bacteroidota Bacteroidia
## 220 Seq307 red Bacteria Bacteroidota Bacteroidia
## 221 Seq431 red Bacteria Bacteroidota Bacteroidia
## 222 Seq205 red Bacteria Firmicutes Bacilli
## 223 Seq86 red Bacteria Firmicutes Bacilli
## 224 Seq51 red Bacteria Firmicutes Bacilli
## 225 Seq18 red Bacteria Firmicutes Bacilli
## 226 Seq192 red Bacteria Firmicutes Bacilli
## 227 Seq266 red Bacteria Firmicutes Bacilli
## 228 Seq278 red Bacteria Firmicutes Bacilli
## 229 Seq99 red Bacteria Firmicutes Bacilli
## 230 Seq53 red Bacteria Firmicutes Bacilli
## 231 Seq118 red Bacteria Firmicutes Bacilli
## 232 Seq76 red Bacteria Verrucomicrobiota Verrucomicrobiae
## 233 Seq232 red Bacteria Verrucomicrobiota Verrucomicrobiae
## 234 Seq168 red Bacteria Verrucomicrobiota Verrucomicrobiae
## 235 Seq387 red Bacteria Verrucomicrobiota Verrucomicrobiae
## 236 Seq285 red Bacteria Verrucomicrobiota Verrucomicrobiae
## 237 Seq217 red Bacteria Verrucomicrobiota Verrucomicrobiae
## 238 Seq190 red Bacteria Planctomycetota Planctomycetes
## 239 Seq249 red Bacteria Planctomycetota Planctomycetes
## 240 Seq254 red Bacteria Acidobacteriota Acidobacteriae
## 241 Seq67 red Bacteria Bacteroidota Bacteroidia
## 242 Seq176 red Bacteria Bacteroidota Bacteroidia
## 243 Seq268 red Bacteria Bacteroidota Bacteroidia
## 244 Seq32 red Bacteria Bacteroidota Bacteroidia
## 245 Seq84 red Bacteria Bacteroidota Bacteroidia
## 246 Seq459 red Bacteria Bacteroidota Bacteroidia
## 247 Seq40 red Bacteria Bacteroidota Bacteroidia
## 248 Seq173 red Bacteria Bacteroidota Bacteroidia
## 249 Seq246 red Bacteria Bacteroidota Bacteroidia
## 250 Seq112 red Bacteria Bacteroidota Bacteroidia
## 251 Seq126 red Bacteria Bacteroidota Bacteroidia
## 252 Seq102 red Bacteria Bacteroidota Bacteroidia
## 253 Seq309 red Bacteria Bacteroidota Bacteroidia
## 254 Seq70 red Bacteria Bacteroidota Bacteroidia
## 255 Seq262 red Bacteria Bacteroidota Bacteroidia
## 256 Seq301 red Bacteria Bacteroidota Bacteroidia
## 257 Seq572 red Bacteria Proteobacteria Gammaproteobacteria
## 258 Seq436 red Bacteria Proteobacteria Gammaproteobacteria
## 259 Seq261 red Bacteria Proteobacteria Gammaproteobacteria
## 260 Seq298 red Bacteria Proteobacteria Gammaproteobacteria
## 261 Seq354 red Bacteria Proteobacteria Gammaproteobacteria
## 262 Seq226 red Bacteria Proteobacteria Gammaproteobacteria
## 263 Seq147 red Bacteria Proteobacteria Gammaproteobacteria
## 264 Seq370 red Bacteria Proteobacteria Gammaproteobacteria
## 265 Seq486 red Bacteria Proteobacteria Gammaproteobacteria
## 266 Seq79 salmon Bacteria Proteobacteria Gammaproteobacteria
## 267 Seq122 salmon Bacteria Proteobacteria Gammaproteobacteria
## 268 Seq179 salmon Bacteria Proteobacteria Gammaproteobacteria
## 269 Seq145 salmon Bacteria Proteobacteria Gammaproteobacteria
## 270 Seq154 salmon Bacteria Proteobacteria Gammaproteobacteria
## 271 Seq222 salmon Bacteria Proteobacteria Gammaproteobacteria
## 272 Seq159 salmon Bacteria Proteobacteria Gammaproteobacteria
## 273 Seq8 salmon Bacteria Proteobacteria Gammaproteobacteria
## 274 Seq14 salmon Bacteria Proteobacteria Gammaproteobacteria
## 275 Seq54 salmon Bacteria Proteobacteria Gammaproteobacteria
## 276 Seq95 salmon Bacteria Proteobacteria Gammaproteobacteria
## 277 Seq340 salmon Bacteria Proteobacteria Gammaproteobacteria
## 278 Seq264 salmon Bacteria Proteobacteria Alphaproteobacteria
## 279 Seq333 salmon Bacteria Proteobacteria Alphaproteobacteria
## 280 Seq158 salmon Bacteria Proteobacteria Alphaproteobacteria
## 281 Seq248 salmon Bacteria Proteobacteria Alphaproteobacteria
## 282 Seq245 salmon Bacteria Proteobacteria Alphaproteobacteria
## 283 Seq185 salmon Bacteria Proteobacteria Alphaproteobacteria
## 284 Seq156 salmon Bacteria Proteobacteria Alphaproteobacteria
## 285 Seq42 salmon Bacteria Proteobacteria Alphaproteobacteria
## 286 Seq286 salmon Bacteria Proteobacteria Alphaproteobacteria
## 287 Seq21 salmon Bacteria Proteobacteria Alphaproteobacteria
## 288 Seq107 salmon Bacteria Proteobacteria Alphaproteobacteria
## 289 Seq231 salmon Bacteria Proteobacteria Alphaproteobacteria
## 290 Seq140 salmon Bacteria Proteobacteria Alphaproteobacteria
## 291 Seq378 salmon Bacteria Proteobacteria Alphaproteobacteria
## 292 Seq374 salmon Bacteria Myxococcota Polyangia
## 293 Seq257 salmon Bacteria Myxococcota Polyangia
## 294 Seq223 salmon Bacteria Actinobacteriota Actinobacteria
## 295 Seq83 salmon Bacteria Actinobacteriota Actinobacteria
## 296 Seq68 salmon Bacteria Actinobacteriota Actinobacteria
## 297 Seq293 salmon Bacteria Actinobacteriota Actinobacteria
## 298 Seq72 salmon Bacteria Actinobacteriota Actinobacteria
## 299 Seq101 salmon Bacteria Actinobacteriota Actinobacteria
## 300 Seq265 salmon Bacteria Actinobacteriota Actinobacteria
## 301 Seq260 salmon Bacteria Bacteroidota Bacteroidia
## 302 Seq180 salmon Bacteria Bacteroidota Bacteroidia
## 303 Seq142 salmon Bacteria Verrucomicrobiota Verrucomicrobiae
## 304 Seq163 salmon Bacteria Bacteroidota Bacteroidia
## 305 Seq253 salmon Bacteria Bacteroidota Bacteroidia
## 306 Seq116 salmon Bacteria Bacteroidota Bacteroidia
## 307 Seq184 salmon Bacteria Bacteroidota Bacteroidia
## 308 Seq52 salmon Bacteria Bacteroidota Bacteroidia
## 309 Seq187 salmon Bacteria Bacteroidota Bacteroidia
## 310 Seq172 salmon Bacteria Bacteroidota Bacteroidia
## 311 Seq283 salmon Bacteria Bacteroidota Bacteroidia
## 312 Seq113 salmon Bacteria Bacteroidota Bacteroidia
## 313 Seq110 salmon Bacteria Bacteroidota Bacteroidia
## 314 Seq132 salmon Bacteria Bacteroidota Bacteroidia
## 315 Seq37 salmon Bacteria Bacteroidota Bacteroidia
## 316 Seq162 salmon Bacteria Bacteroidota Bacteroidia
## 317 Seq182 salmon Bacteria Bacteroidota Bacteroidia
## 318 Seq92 salmon Bacteria Bacteroidota Bacteroidia
## 319 Seq80 salmon Bacteria Bacteroidota Bacteroidia
## 320 Seq2 salmon Bacteria Bacteroidota Bacteroidia
## 321 Seq221 salmon Bacteria Bacteroidota Bacteroidia
## 322 Seq20 salmon Bacteria Bacteroidota Bacteroidia
## 323 Seq282 salmon Bacteria Bacteroidota Bacteroidia
## 324 Seq38 salmon Bacteria Bacteroidota Bacteroidia
## 325 Seq237 salmon Bacteria Proteobacteria Gammaproteobacteria
## 326 Seq234 salmon Bacteria Proteobacteria Gammaproteobacteria
## 327 Seq59 salmon Bacteria Proteobacteria Gammaproteobacteria
## 328 Seq105 salmon Bacteria Proteobacteria Gammaproteobacteria
## 329 Seq344 salmon Bacteria Proteobacteria Gammaproteobacteria
## 330 Seq41 salmon Bacteria Proteobacteria Gammaproteobacteria
## 331 Seq243 salmon Bacteria Proteobacteria Gammaproteobacteria
## 332 Seq406 salmon Bacteria Proteobacteria Gammaproteobacteria
## 333 Seq139 salmon Bacteria Proteobacteria Gammaproteobacteria
## 334 Seq24 salmon Bacteria Proteobacteria Gammaproteobacteria
## 335 Seq27 salmon Bacteria Proteobacteria Gammaproteobacteria
## 336 Seq87 salmon Bacteria Proteobacteria Gammaproteobacteria
## 337 Seq55 salmon Bacteria Proteobacteria Gammaproteobacteria
## 338 Seq201 salmon Bacteria Proteobacteria Gammaproteobacteria
## 339 Seq456 exl Archaea Crenarchaeota Nitrososphaeria
## 340 Seq306 exl Bacteria Proteobacteria Gammaproteobacteria
## 341 Seq423 exl Bacteria Proteobacteria Gammaproteobacteria
## 342 Seq361 exl Bacteria Proteobacteria Gammaproteobacteria
## 343 Seq416 exl Bacteria Proteobacteria Gammaproteobacteria
## 344 Seq200 exl Bacteria Proteobacteria Gammaproteobacteria
## 345 Seq427 exl Bacteria Proteobacteria Gammaproteobacteria
## 346 Seq313 exl Bacteria Proteobacteria Gammaproteobacteria
## 347 Seq432 exl Bacteria Proteobacteria Gammaproteobacteria
## 348 Seq225 exl Bacteria Proteobacteria Alphaproteobacteria
## 349 Seq380 exl Bacteria Proteobacteria Alphaproteobacteria
## 350 Seq461 exl Bacteria Proteobacteria Alphaproteobacteria
## 351 Seq440 exl Bacteria Proteobacteria Alphaproteobacteria
## 352 Seq445 exl Bacteria Proteobacteria Alphaproteobacteria
## 353 Seq357 exl Bacteria Proteobacteria Alphaproteobacteria
## 354 Seq464 exl Bacteria Proteobacteria <NA>
## 355 Seq318 exl Bacteria Proteobacteria Alphaproteobacteria
## 356 Seq397 exl Bacteria Proteobacteria Alphaproteobacteria
## 357 Seq404 exl Bacteria Proteobacteria Alphaproteobacteria
## 358 Seq310 exl Bacteria Proteobacteria Alphaproteobacteria
## 359 Seq441 exl Bacteria Proteobacteria Alphaproteobacteria
## 360 Seq311 exl Bacteria Proteobacteria Alphaproteobacteria
## 361 Seq466 exl Bacteria Proteobacteria Alphaproteobacteria
## 362 Seq468 exl Bacteria Proteobacteria Alphaproteobacteria
## 363 Seq413 exl Bacteria Proteobacteria Alphaproteobacteria
## 364 Seq443 exl Bacteria Proteobacteria Alphaproteobacteria
## 365 Seq467 exl Bacteria Proteobacteria Alphaproteobacteria
## 366 Seq395 exl Bacteria Proteobacteria Alphaproteobacteria
## 367 Seq312 exl Bacteria Proteobacteria Alphaproteobacteria
## 368 Seq439 exl Bacteria Proteobacteria Alphaproteobacteria
## 369 Seq422 exl Bacteria Gemmatimonadota Gemmatimonadetes
## 370 Seq448 exl Bacteria Actinobacteriota Thermoleophilia
## 371 Seq284 exl Bacteria Actinobacteriota Thermoleophilia
## 372 Seq471 exl Bacteria Actinobacteriota Thermoleophilia
## 373 Seq391 exl Bacteria Myxococcota Myxococcia
## 374 Seq255 exl Bacteria Myxococcota Myxococcia
## 375 Seq442 exl Bacteria Myxococcota Myxococcia
## 376 Seq414 exl Bacteria Myxococcota Polyangia
## 377 Seq460 exl Bacteria Bdellovibrionota Bdellovibrionia
## 378 Seq418 exl Bacteria Actinobacteriota Actinobacteria
## 379 Seq447 exl Bacteria Actinobacteriota Actinobacteria
## 380 Seq450 exl Bacteria Actinobacteriota Actinobacteria
## 381 Seq238 exl Bacteria Actinobacteriota Acidimicrobiia
## 382 Seq289 exl Bacteria Actinobacteriota Actinobacteria
## 383 Seq394 exl Bacteria Actinobacteriota Actinobacteria
## 384 Seq401 exl Bacteria Actinobacteriota Actinobacteria
## 385 Seq455 exl Bacteria Actinobacteriota Actinobacteria
## 386 Seq451 exl Bacteria Actinobacteriota Actinobacteria
## 387 Seq363 exl Bacteria Actinobacteriota Actinobacteria
## 388 Seq358 exl Bacteria Actinobacteriota Actinobacteria
## 389 Seq294 exl Bacteria Actinobacteriota Actinobacteria
## 390 Seq297 exl Bacteria Actinobacteriota Actinobacteria
## 391 Seq415 exl Bacteria Actinobacteriota Actinobacteria
## 392 Seq469 exl Bacteria Actinobacteriota Actinobacteria
## 393 Seq400 exl Bacteria Actinobacteriota Actinobacteria
## 394 Seq212 exl Bacteria Bacteroidota Bacteroidia
## 395 Seq330 exl Bacteria Bacteroidota Bacteroidia
## 396 Seq444 exl Bacteria Bacteroidota Bacteroidia
## 397 Seq437 exl Bacteria Bacteroidota Bacteroidia
## 398 Seq453 exl Bacteria Bacteroidota Bacteroidia
## 399 Seq331 exl Bacteria Bacteroidota Bacteroidia
## 400 Seq143 exl Bacteria Firmicutes Bacilli
## 401 Seq69 exl Bacteria Firmicutes Bacilli
## 402 Seq296 exl Bacteria Firmicutes Bacilli
## 403 Seq280 exl Bacteria Firmicutes Bacilli
## 404 Seq426 exl Bacteria Firmicutes Bacilli
## 405 Seq365 exl Bacteria Firmicutes Bacilli
## 406 Seq452 exl Bacteria Patescibacteria Saccharimonadia
## 407 Seq336 exl Bacteria Verrucomicrobiota Verrucomicrobiae
## 408 Seq376 exl Bacteria Verrucomicrobiota Verrucomicrobiae
## 409 Seq364 exl Bacteria Verrucomicrobiota Verrucomicrobiae
## 410 Seq202 exl Bacteria Verrucomicrobiota Verrucomicrobiae
## 411 Seq367 exl Bacteria Verrucomicrobiota Verrucomicrobiae
## 412 Seq263 exl Bacteria Verrucomicrobiota Verrucomicrobiae
## 413 Seq446 exl Bacteria Planctomycetota Planctomycetes
## 414 Seq438 exl Bacteria Planctomycetota Planctomycetes
## 415 Seq425 exl Bacteria Bacteroidota Ignavibacteria
## 416 Seq295 exl Bacteria Bacteroidota Bacteroidia
## 417 Seq236 exl Bacteria Bacteroidota Bacteroidia
## 418 Seq299 exl Bacteria Bacteroidota Bacteroidia
## 419 Seq405 exl Bacteria Bacteroidota Bacteroidia
## 420 Seq410 exl Bacteria Bacteroidota Bacteroidia
## 421 Seq323 exl Bacteria Bacteroidota Bacteroidia
## 422 Seq199 exl Bacteria Bacteroidota Bacteroidia
## 423 Seq351 exl Bacteria Bacteroidota Bacteroidia
## 424 Seq407 exl Bacteria Bacteroidota Bacteroidia
## 425 Seq388 exl Bacteria Bacteroidota Bacteroidia
## 426 Seq396 exl Bacteria Bacteroidota Bacteroidia
## 427 Seq470 exl Bacteria Bacteroidota Bacteroidia
## 428 Seq274 exl Bacteria Proteobacteria Gammaproteobacteria
## 429 Seq458 exl Bacteria Proteobacteria Gammaproteobacteria
## 430 Seq242 exl Bacteria Proteobacteria Gammaproteobacteria
## 431 Seq393 exl Bacteria Proteobacteria Gammaproteobacteria
## 432 Seq463 exl Bacteria Proteobacteria Gammaproteobacteria
## 433 Seq390 exl Bacteria Proteobacteria Gammaproteobacteria
## 434 Seq417 exl Bacteria Proteobacteria Gammaproteobacteria
## 435 Seq389 exl Bacteria Proteobacteria Gammaproteobacteria
## 436 Seq403 exl Bacteria Proteobacteria Gammaproteobacteria
## 437 Seq386 exl Bacteria Proteobacteria Gammaproteobacteria
## 438 Seq377 exl Bacteria Proteobacteria Gammaproteobacteria
## 439 Seq164 exl Bacteria Proteobacteria Gammaproteobacteria
## 440 Seq66 exl Bacteria Proteobacteria Gammaproteobacteria
## 441 Seq241 exl Bacteria Proteobacteria Gammaproteobacteria
## 442 Seq434 exl Bacteria Proteobacteria Gammaproteobacteria
## 443 Seq319 exl Bacteria Proteobacteria Gammaproteobacteria
## 444 Seq125 exl Bacteria Proteobacteria Gammaproteobacteria
## 445 Seq408 exl Bacteria Proteobacteria Gammaproteobacteria
## Order Family
## 1 Obscuribacterales Obscuribacteraceae
## 2 Obscuribacterales Obscuribacteraceae
## 3 Sphingomonadales Sphingomonadaceae
## 4 Reyranellales Reyranellaceae
## 5 Reyranellales Reyranellaceae
## 6 Reyranellales Reyranellaceae
## 7 Reyranellales Reyranellaceae
## 8 Rhizobiales Kaistiaceae
## 9 Rhizobiales Xanthobacteraceae
## 10 Micropepsales Micropepsaceae
## 11 Micropepsales Micropepsaceae
## 12 Sphingomonadales Sphingomonadaceae
## 13 Rhizobiales Devosiaceae
## 14 Rhizobiales Rhizobiaceae
## 15 Caulobacterales Caulobacteraceae
## 16 Caulobacterales Hyphomonadaceae
## 17 Gemmatimonadales Gemmatimonadaceae
## 18 Solirubrobacterales Solirubrobacteraceae
## 19 Solirubrobacterales 67-14
## 20 Solirubrobacterales 67-14
## 21 Polyangiales BIrii41
## 22 Polyangiales BIrii41
## 23 Polyangiales BIrii41
## 24 Polyangiales Sandaracinaceae
## 25 0319-6G20 <NA>
## 26 Bdellovibrionales Bdellovibrionaceae
## 27 Bdellovibrionales Bdellovibrionaceae
## 28 Babeliales UBA12409
## 29 Propionibacteriales Nocardioidaceae
## 30 Microtrichales Iamiaceae
## 31 Microtrichales Iamiaceae
## 32 Micrococcales Microbacteriaceae
## 33 Micromonosporales Micromonosporaceae
## 34 Micromonosporales Micromonosporaceae
## 35 Streptomycetales Streptomycetaceae
## 36 Propionibacteriales Propionibacteriaceae
## 37 Bacteroidales <NA>
## 38 Bacteroidetes VC2.1 Bac22 <NA>
## 39 Sphingobacteriales Sphingobacteriaceae
## 40 Sphingobacteriales NS11-12 marine group
## 41 <NA> <NA>
## 42 Sphingobacteriales env.OPS 17
## 43 Spirochaetales Spirochaetaceae
## 44 Spirochaetales Spirochaetaceae
## 45 Anaerolineales Anaerolineaceae
## 46 Chloroflexales Roseiflexaceae
## 47 Chloroflexales Roseiflexaceae
## 48 Thermomicrobiales JG30-KF-CM45
## 49 Fimbriimonadales Fimbriimonadaceae
## 50 Pedosphaerales Pedosphaeraceae
## 51 Opitutales Opitutaceae
## 52 Chthoniobacterales Terrimicrobiaceae
## 53 Chthoniobacterales Chthoniobacteraceae
## 54 Verrucomicrobiales Verrucomicrobiaceae
## 55 Verrucomicrobiales Rubritaleaceae
## 56 Pirellulales Pirellulaceae
## 57 Pirellulales Pirellulaceae
## 58 Pirellulales Pirellulaceae
## 59 Pirellulales Pirellulaceae
## 60 Planctomycetales Rubinisphaeraceae
## 61 Planctomycetales Schlesneriaceae
## 62 Vicinamibacterales Vicinamibacteraceae
## 63 Vicinamibacterales Vicinamibacteraceae
## 64 Vicinamibacterales <NA>
## 65 Kapabacteriales <NA>
## 66 Cytophagales Microscillaceae
## 67 Cytophagales Microscillaceae
## 68 Cytophagales Microscillaceae
## 69 Cytophagales Microscillaceae
## 70 Cytophagales Microscillaceae
## 71 Chitinophagales Chitinophagaceae
## 72 Chitinophagales Chitinophagaceae
## 73 Chitinophagales Chitinophagaceae
## 74 Chitinophagales Chitinophagaceae
## 75 Chitinophagales Chitinophagaceae
## 76 Chitinophagales Chitinophagaceae
## 77 Pseudomonadales 211ds20
## 78 Steroidobacterales Steroidobacteraceae
## 79 Steroidobacterales Steroidobacteraceae
## 80 Gammaproteobacteria Incertae Sedis Unknown Family
## 81 Gammaproteobacteria Incertae Sedis Unknown Family
## 82 R7C24 <NA>
## 83 Gammaproteobacteria Incertae Sedis Unknown Family
## 84 Xanthomonadales Rhodanobacteraceae
## 85 Diplorickettsiales Diplorickettsiaceae
## 86 Legionellales Legionellaceae
## 87 Burkholderiales Burkholderiaceae
## 88 Azospirillales Inquilinaceae
## 89 Azospirillales Inquilinaceae
## 90 Rhizobiales Xanthobacteraceae
## 91 Rhizobiales Xanthobacteraceae
## 92 Rhizobiales Xanthobacteraceae
## 93 Rhizobiales Xanthobacteraceae
## 94 Rhizobiales Rhizobiaceae
## 95 Rhizobiales Rhizobiaceae
## 96 Nannocystales Nannocystaceae
## 97 Polyangiales Polyangiaceae
## 98 Corynebacteriales Mycobacteriaceae
## 99 Streptosporangiales Streptosporangiaceae
## 100 Paenibacillales Paenibacillaceae
## 101 Bacillales Bacillaceae
## 102 Bacillales Bacillaceae
## 103 Bacillales Bacillaceae
## 104 Bacillales Planococcaceae
## 105 Bacillales Planococcaceae
## 106 Bacillales Planococcaceae
## 107 Isosphaerales Isosphaeraceae
## 108 Acidobacteriales Acidobacteriaceae (Subgroup 1)
## 109 Cytophagales Microscillaceae
## 110 Cytophagales Microscillaceae
## 111 Chitinophagales Chitinophagaceae
## 112 Chitinophagales Chitinophagaceae
## 113 Chitinophagales Chitinophagaceae
## 114 Cytophagales Spirosomaceae
## 115 Xanthomonadales Rhodanobacteraceae
## 116 Xanthomonadales Xanthomonadaceae
## 117 Nitrososphaerales Nitrososphaeraceae
## 118 Nitrososphaerales Nitrososphaeraceae
## 119 Nitrososphaerales Nitrososphaeraceae
## 120 Nitrososphaerales Nitrososphaeraceae
## 121 Diplorickettsiales Diplorickettsiaceae
## 122 Sphingomonadales Sphingomonadaceae
## 123 Rhodospirillales Magnetospiraceae
## 124 Acetobacterales Acetobacteraceae
## 125 Rhizobiales Xanthobacteraceae
## 126 Rhizobiales Xanthobacteraceae
## 127 Micropepsales Micropepsaceae
## 128 Sphingomonadales Sphingomonadaceae
## 129 Caulobacterales Caulobacteraceae
## 130 Nitrospirales Nitrospiraceae
## 131 Haliangiales Haliangiaceae
## 132 Polyangiales BIrii41
## 133 Polyangiales BIrii41
## 134 Polyangiales Polyangiaceae
## 135 0319-6G20 <NA>
## 136 Propionibacteriales Propionibacteriaceae
## 137 IMCC26256 <NA>
## 138 Microtrichales Ilumatobacteraceae
## 139 Sphingobacteriales NS11-12 marine group
## 140 Paenibacillales Paenibacillaceae
## 141 Bacillales Planococcaceae
## 142 Spirochaetales Spirochaetaceae
## 143 Saccharimonadales LWQ8
## 144 Chloroflexales Roseiflexaceae
## 145 Opitutales Opitutaceae
## 146 Opitutales Opitutaceae
## 147 Chthoniobacterales Terrimicrobiaceae
## 148 Pirellulales Pirellulaceae
## 149 Planctomycetales <NA>
## 150 Blastocatellales Blastocatellaceae
## 151 Sphingobacteriales env.OPS 17
## 152 Chitinophagales Chitinophagaceae
## 153 Chitinophagales Chitinophagaceae
## 154 Chitinophagales Chitinophagaceae
## 155 Cytophagales Amoebophilaceae
## 156 <NA> <NA>
## 157 Gammaproteobacteria Incertae Sedis Unknown Family
## 158 Xanthomonadales Xanthomonadaceae
## 159 Xanthomonadales Rhodanobacteraceae
## 160 Salinisphaerales Solimonadaceae
## 161 Diplorickettsiales Diplorickettsiaceae
## 162 CCD24 <NA>
## 163 Obscuribacterales Obscuribacteraceae
## 164 Sphingomonadales Sphingomonadaceae
## 165 Dongiales Dongiaceae
## 166 Reyranellales Reyranellaceae
## 167 Rhizobiales Xanthobacteraceae
## 168 Rhizobiales Xanthobacteraceae
## 169 Sphingomonadales Sphingomonadaceae
## 170 Caulobacterales Caulobacteraceae
## 171 Solirubrobacterales Solirubrobacteraceae
## 172 Polyangiales BIrii41
## 173 Micrococcales Microbacteriaceae
## 174 Sphingobacteriales Sphingobacteriaceae
## 175 Bacillales Bacillaceae
## 176 Fibrobacterales Fibrobacteraceae
## 177 Thermomicrobiales JG30-KF-CM45
## 178 Phycisphaerales Phycisphaeraceae
## 179 Pirellulales Pirellulaceae
## 180 Gemmatales Gemmataceae
## 181 Planctomycetales <NA>
## 182 Chitinophagales Chitinophagaceae
## 183 Chitinophagales Chitinophagaceae
## 184 Chitinophagales Chitinophagaceae
## 185 Coxiellales Coxiellaceae
## 186 R7C24 <NA>
## 187 Salinisphaerales Solimonadaceae
## 188 Diplorickettsiales Diplorickettsiaceae
## 189 Diplorickettsiales Diplorickettsiaceae
## 190 Diplorickettsiales Diplorickettsiaceae
## 191 Burkholderiales Burkholderiaceae
## 192 Burkholderiales Alcaligenaceae
## 193 Burkholderiales Comamonadaceae
## 194 Ferrovibrionales Ferrovibrionaceae
## 195 Rhizobiales Xanthobacteraceae
## 196 Rhizobiales Beijerinckiaceae
## 197 Rhizobiales Beijerinckiaceae
## 198 Rhizobiales Beijerinckiaceae
## 199 Rhizobiales Xanthobacteraceae
## 200 Rhizobiales Xanthobacteraceae
## 201 Rhizobiales Hyphomicrobiaceae
## 202 Sphingomonadales Sphingomonadaceae
## 203 Sphingomonadales Sphingomonadaceae
## 204 Rhizobiales Rhizobiaceae
## 205 Solirubrobacterales Solirubrobacteraceae
## 206 Polyangiales Polyangiaceae
## 207 Polyangiales Polyangiaceae
## 208 Polyangiales Polyangiaceae
## 209 Microtrichales Ilumatobacteraceae
## 210 Micrococcales Promicromonosporaceae
## 211 Micrococcales Microbacteriaceae
## 212 Micrococcales Microbacteriaceae
## 213 Micrococcales Microbacteriaceae
## 214 Corynebacteriales Mycobacteriaceae
## 215 Streptosporangiales Streptosporangiaceae
## 216 Streptosporangiales Streptosporangiaceae
## 217 Streptosporangiales Thermomonosporaceae
## 218 Streptomycetales Streptomycetaceae
## 219 Sphingobacteriales Sphingobacteriaceae
## 220 Sphingobacteriales NS11-12 marine group
## 221 Sphingobacteriales NS11-12 marine group
## 222 Paenibacillales Paenibacillaceae
## 223 Paenibacillales Paenibacillaceae
## 224 Paenibacillales Paenibacillaceae
## 225 Paenibacillales Paenibacillaceae
## 226 Paenibacillales Paenibacillaceae
## 227 Paenibacillales Paenibacillaceae
## 228 Bacillales Planococcaceae
## 229 Bacillales Bacillaceae
## 230 Bacillales Planococcaceae
## 231 Bacillales Planococcaceae
## 232 Chthoniobacterales Terrimicrobiaceae
## 233 Chthoniobacterales Terrimicrobiaceae
## 234 Chthoniobacterales Terrimicrobiaceae
## 235 Chthoniobacterales Chthoniobacteraceae
## 236 Chthoniobacterales Chthoniobacteraceae
## 237 Verrucomicrobiales Verrucomicrobiaceae
## 238 Gemmatales Gemmataceae
## 239 Isosphaerales Isosphaeraceae
## 240 Acidobacteriales Acidobacteriaceae (Subgroup 1)
## 241 Cytophagales Microscillaceae
## 242 Cytophagales Microscillaceae
## 243 Chitinophagales Chitinophagaceae
## 244 Chitinophagales Chitinophagaceae
## 245 Chitinophagales Chitinophagaceae
## 246 Chitinophagales Chitinophagaceae
## 247 Chitinophagales Chitinophagaceae
## 248 Chitinophagales Chitinophagaceae
## 249 Chitinophagales Chitinophagaceae
## 250 Chitinophagales Chitinophagaceae
## 251 Chitinophagales Chitinophagaceae
## 252 Chitinophagales Chitinophagaceae
## 253 Chitinophagales Chitinophagaceae
## 254 Chitinophagales Chitinophagaceae
## 255 Chitinophagales Chitinophagaceae
## 256 Chitinophagales Chitinophagaceae
## 257 Pseudomonadales Moraxellaceae
## 258 Steroidobacterales Steroidobacteraceae
## 259 Gammaproteobacteria Incertae Sedis Unknown Family
## 260 Gammaproteobacteria Incertae Sedis Unknown Family
## 261 Gammaproteobacteria Incertae Sedis Unknown Family
## 262 Xanthomonadales Rhodanobacteraceae
## 263 Xanthomonadales Xanthomonadaceae
## 264 Diplorickettsiales Diplorickettsiaceae
## 265 <NA> <NA>
## 266 Burkholderiales Oxalobacteraceae
## 267 Burkholderiales Oxalobacteraceae
## 268 Burkholderiales Oxalobacteraceae
## 269 Burkholderiales Oxalobacteraceae
## 270 Burkholderiales Oxalobacteraceae
## 271 Burkholderiales Oxalobacteraceae
## 272 Burkholderiales Burkholderiaceae
## 273 Burkholderiales Burkholderiaceae
## 274 Burkholderiales Alcaligenaceae
## 275 Burkholderiales Comamonadaceae
## 276 Burkholderiales Comamonadaceae
## 277 Burkholderiales Comamonadaceae
## 278 Sphingomonadales Sphingomonadaceae
## 279 Reyranellales Reyranellaceae
## 280 Rhizobiales Beijerinckiaceae
## 281 Rhizobiales Rhizobiaceae
## 282 Rhizobiales Devosiaceae
## 283 Rhizobiales Rhizobiaceae
## 284 Rhizobiales Rhizobiaceae
## 285 Rhizobiales Rhizobiaceae
## 286 Rhizobiales Rhizobiaceae
## 287 Rhizobiales Rhizobiaceae
## 288 Rhizobiales Rhizobiaceae
## 289 Rhizobiales Rhizobiaceae
## 290 Rhizobiales Rhizobiaceae
## 291 Caulobacterales Caulobacteraceae
## 292 Haliangiales Haliangiaceae
## 293 Polyangiales Polyangiaceae
## 294 Micrococcales Promicromonosporaceae
## 295 Micrococcales Microbacteriaceae
## 296 Corynebacteriales Mycobacteriaceae
## 297 Glycomycetales Glycomycetaceae
## 298 Streptomycetales Streptomycetaceae
## 299 Streptomycetales Streptomycetaceae
## 300 Streptomycetales Streptomycetaceae
## 301 Sphingobacteriales <NA>
## 302 Sphingobacteriales Sphingobacteriaceae
## 303 Verrucomicrobiales Verrucomicrobiaceae
## 304 Cytophagales Microscillaceae
## 305 Cytophagales Microscillaceae
## 306 Cytophagales Microscillaceae
## 307 Cytophagales Microscillaceae
## 308 Flavobacteriales Flavobacteriaceae
## 309 Flavobacteriales Weeksellaceae
## 310 Flavobacteriales Weeksellaceae
## 311 Chitinophagales Chitinophagaceae
## 312 Chitinophagales Chitinophagaceae
## 313 Chitinophagales Chitinophagaceae
## 314 Chitinophagales Chitinophagaceae
## 315 Chitinophagales Chitinophagaceae
## 316 Chitinophagales Chitinophagaceae
## 317 Chitinophagales Chitinophagaceae
## 318 Chitinophagales Chitinophagaceae
## 319 Chitinophagales Chitinophagaceae
## 320 Chitinophagales Chitinophagaceae
## 321 Chitinophagales Chitinophagaceae
## 322 Chitinophagales Chitinophagaceae
## 323 Chitinophagales Chitinophagaceae
## 324 Cytophagales Spirosomaceae
## 325 Steroidobacterales Steroidobacteraceae
## 326 Xanthomonadales Xanthomonadaceae
## 327 Xanthomonadales Xanthomonadaceae
## 328 Xanthomonadales Xanthomonadaceae
## 329 Xanthomonadales Xanthomonadaceae
## 330 Xanthomonadales Xanthomonadaceae
## 331 <NA> <NA>
## 332 Legionellales Legionellaceae
## 333 Pseudomonadales Pseudomonadaceae
## 334 Pseudomonadales Pseudomonadaceae
## 335 Pseudomonadales Pseudomonadaceae
## 336 Pseudomonadales Pseudomonadaceae
## 337 Pseudomonadales Pseudomonadaceae
## 338 Enterobacterales Enterobacteriaceae
## 339 Nitrososphaerales Nitrososphaeraceae
## 340 Burkholderiales Oxalobacteraceae
## 341 Burkholderiales Neisseriaceae
## 342 Burkholderiales Burkholderiaceae
## 343 Burkholderiales Burkholderiaceae
## 344 Burkholderiales Alcaligenaceae
## 345 Burkholderiales Alcaligenaceae
## 346 Burkholderiales Alcaligenaceae
## 347 Burkholderiales Comamonadaceae
## 348 Sphingomonadales Sphingomonadaceae
## 349 Sphingomonadales Sphingomonadaceae
## 350 Sphingomonadales Sphingomonadaceae
## 351 Ferrovibrionales Ferrovibrionaceae
## 352 Reyranellales Reyranellaceae
## 353 Reyranellales Reyranellaceae
## 354 <NA> <NA>
## 355 Rhizobiales Kaistiaceae
## 356 Rhizobiales Xanthobacteraceae
## 357 Rhizobiales Beijerinckiaceae
## 358 Rhizobiales Beijerinckiaceae
## 359 Rhizobiales Xanthobacteraceae
## 360 Rhizobiales Xanthobacteraceae
## 361 Rhizobiales Xanthobacteraceae
## 362 Rhizobiales Hyphomicrobiaceae
## 363 Sphingomonadales Sphingomonadaceae
## 364 Rhizobiales Devosiaceae
## 365 Rhizobiales Rhizobiaceae
## 366 Rhizobiales D05-2
## 367 Caulobacterales Caulobacteraceae
## 368 Caulobacterales Caulobacteraceae
## 369 Gemmatimonadales Gemmatimonadaceae
## 370 Gaiellales <NA>
## 371 Solirubrobacterales Solirubrobacteraceae
## 372 Solirubrobacterales 67-14
## 373 Myxococcales Myxococcaceae
## 374 Myxococcales Myxococcaceae
## 375 Myxococcales Myxococcaceae
## 376 Polyangiales Phaselicystidaceae
## 377 Bdellovibrionales Bdellovibrionaceae
## 378 Propionibacteriales Propionibacteriaceae
## 379 Propionibacteriales Nocardioidaceae
## 380 Propionibacteriales Nocardioidaceae
## 381 Microtrichales Iamiaceae
## 382 Micrococcales Cellulomonadaceae
## 383 Micrococcales Cellulomonadaceae
## 384 Micrococcales Microbacteriaceae
## 385 Micrococcales Microbacteriaceae
## 386 Micromonosporales Micromonosporaceae
## 387 Micromonosporales Micromonosporaceae
## 388 Micromonosporales Micromonosporaceae
## 389 Pseudonocardiales Pseudonocardiaceae
## 390 Streptosporangiales Streptosporangiaceae
## 391 Streptomycetales Streptomycetaceae
## 392 Streptomycetales Streptomycetaceae
## 393 Frankiales <NA>
## 394 Sphingobacteriales Sphingobacteriaceae
## 395 Sphingobacteriales Sphingobacteriaceae
## 396 Sphingobacteriales Sphingobacteriaceae
## 397 Sphingobacteriales Sphingobacteriaceae
## 398 Cytophagales Microscillaceae
## 399 Sphingobacteriales env.OPS 17
## 400 Lactobacillales Lactobacillaceae
## 401 Lactobacillales Lactobacillaceae
## 402 Lactobacillales Lactobacillaceae
## 403 Lactobacillales Lactobacillaceae
## 404 Paenibacillales Paenibacillaceae
## 405 Bacillales Planococcaceae
## 406 Saccharimonadales <NA>
## 407 Chthoniobacterales Terrimicrobiaceae
## 408 Chthoniobacterales Terrimicrobiaceae
## 409 Chthoniobacterales Terrimicrobiaceae
## 410 Chthoniobacterales Terrimicrobiaceae
## 411 Chthoniobacterales Terrimicrobiaceae
## 412 Verrucomicrobiales Rubritaleaceae
## 413 Pirellulales Pirellulaceae
## 414 Pirellulales Pirellulaceae
## 415 SJA-28 <NA>
## 416 Cytophagales Microscillaceae
## 417 Cytophagales Microscillaceae
## 418 Cytophagales Microscillaceae
## 419 Cytophagales Microscillaceae
## 420 Chitinophagales Chitinophagaceae
## 421 Chitinophagales Chitinophagaceae
## 422 Chitinophagales Chitinophagaceae
## 423 Chitinophagales Chitinophagaceae
## 424 Chitinophagales Chitinophagaceae
## 425 Chitinophagales Chitinophagaceae
## 426 Cytophagales Microscillaceae
## 427 Cytophagales Spirosomaceae
## 428 CCD24 <NA>
## 429 Diplorickettsiales Diplorickettsiaceae
## 430 Gammaproteobacteria Incertae Sedis Unknown Family
## 431 R7C24 <NA>
## 432 Xanthomonadales Xanthomonadaceae
## 433 Xanthomonadales Xanthomonadaceae
## 434 Xanthomonadales Xanthomonadaceae
## 435 Xanthomonadales Rhodanobacteraceae
## 436 Xanthomonadales Rhodanobacteraceae
## 437 Coxiellales Coxiellaceae
## 438 Diplorickettsiales Diplorickettsiaceae
## 439 Pseudomonadales Pseudomonadaceae
## 440 Pseudomonadales Pseudomonadaceae
## 441 Pseudomonadales Pseudomonadaceae
## 442 Pseudomonadales Pseudomonadaceae
## 443 Pseudomonadales Pseudomonadaceae
## 444 Enterobacterales Enterobacteriaceae
## 445 Enterobacterales Erwiniaceae
## Genus Species
## 1 <NA> <NA>
## 2 <NA> <NA>
## 3 Sphingomonas <NA>
## 4 Reyranella soli
## 5 Reyranella <NA>
## 6 Reyranella <NA>
## 7 Reyranella massiliensis
## 8 Kaistia <NA>
## 9 Pseudolabrys <NA>
## 10 <NA> <NA>
## 11 <NA> <NA>
## 12 Altererythrobacter <NA>
## 13 Devosia <NA>
## 14 Mesorhizobium <NA>
## 15 <NA> <NA>
## 16 Hirschia <NA>
## 17 <NA> <NA>
## 18 Conexibacter <NA>
## 19 <NA> <NA>
## 20 <NA> <NA>
## 21 <NA> <NA>
## 22 <NA> <NA>
## 23 <NA> <NA>
## 24 <NA> <NA>
## 25 <NA> <NA>
## 26 Bdellovibrio <NA>
## 27 Bdellovibrio <NA>
## 28 <NA> <NA>
## 29 Kribbella <NA>
## 30 Iamia <NA>
## 31 Iamia <NA>
## 32 Galbitalea <NA>
## 33 Luedemannella <NA>
## 34 Dactylosporangium <NA>
## 35 <NA> <NA>
## 36 Jiangella <NA>
## 37 <NA> <NA>
## 38 <NA> <NA>
## 39 Mucilaginibacter calamicampi
## 40 <NA> <NA>
## 41 <NA> <NA>
## 42 <NA> <NA>
## 43 Salinispira <NA>
## 44 Spirochaeta 2 <NA>
## 45 <NA> <NA>
## 46 <NA> <NA>
## 47 <NA> <NA>
## 48 <NA> <NA>
## 49 <NA> <NA>
## 50 <NA> <NA>
## 51 Lacunisphaera limnophila
## 52 Terrimicrobium <NA>
## 53 LD29 <NA>
## 54 Roseimicrobium gellanilyticum
## 55 Luteolibacter <NA>
## 56 <NA> <NA>
## 57 <NA> <NA>
## 58 Pir4 lineage <NA>
## 59 Pir4 lineage <NA>
## 60 SH-PL14 <NA>
## 61 Schlesneria <NA>
## 62 <NA> <NA>
## 63 <NA> <NA>
## 64 <NA> <NA>
## 65 <NA> <NA>
## 66 Ohtaekwangia <NA>
## 67 Ohtaekwangia <NA>
## 68 Ohtaekwangia <NA>
## 69 Ohtaekwangia <NA>
## 70 <NA> <NA>
## 71 Terrimonas <NA>
## 72 Pseudoflavitalea <NA>
## 73 Flavitalea <NA>
## 74 Edaphobaculum <NA>
## 75 Edaphobaculum <NA>
## 76 Taibaiella <NA>
## 77 <NA> <NA>
## 78 Steroidobacter flavus
## 79 Steroidobacter <NA>
## 80 Acidibacter <NA>
## 81 Acidibacter <NA>
## 82 <NA> <NA>
## 83 Acidibacter <NA>
## 84 Dokdonella ginsengisoli
## 85 <NA> <NA>
## 86 Legionella <NA>
## 87 Burkholderia-Caballeronia-Paraburkholderia telluris
## 88 Inquilinus ginsengisoli
## 89 Inquilinus <NA>
## 90 Pseudorhodoplanes <NA>
## 91 Bradyrhizobium <NA>
## 92 Bradyrhizobium <NA>
## 93 Starkeya <NA>
## 94 Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium <NA>
## 95 Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium <NA>
## 96 Nannocystis <NA>
## 97 Labilithrix <NA>
## 98 Mycobacterium <NA>
## 99 Herbidospora <NA>
## 100 Paenibacillus <NA>
## 101 Terribacillus <NA>
## 102 Bacillus <NA>
## 103 Bacillus <NA>
## 104 <NA> <NA>
## 105 Solibacillus <NA>
## 106 Solibacillus <NA>
## 107 Singulisphaera <NA>
## 108 Edaphobacter <NA>
## 109 Ohtaekwangia <NA>
## 110 Ohtaekwangia <NA>
## 111 Chitinophaga <NA>
## 112 Chitinophaga <NA>
## 113 Taibaiella <NA>
## 114 Dyadobacter <NA>
## 115 Luteibacter <NA>
## 116 Luteimonas <NA>
## 117 <NA> <NA>
## 118 Candidatus Nitrocosmicus <NA>
## 119 <NA> <NA>
## 120 <NA> <NA>
## 121 Aquicella <NA>
## 122 Sphingomonas jaspsi
## 123 <NA> <NA>
## 124 <NA> <NA>
## 125 Pseudorhodoplanes <NA>
## 126 Pseudolabrys <NA>
## 127 <NA> <NA>
## 128 Altererythrobacter <NA>
## 129 Phenylobacterium <NA>
## 130 Nitrospira japonica
## 131 Haliangium <NA>
## 132 <NA> <NA>
## 133 <NA> <NA>
## 134 Minicystis <NA>
## 135 <NA> <NA>
## 136 Microlunatus <NA>
## 137 <NA> <NA>
## 138 <NA> <NA>
## 139 <NA> <NA>
## 140 Paenibacillus <NA>
## 141 Paenisporosarcina <NA>
## 142 Spirochaeta 2 <NA>
## 143 <NA> <NA>
## 144 <NA> <NA>
## 145 Lacunisphaera <NA>
## 146 Opitutus <NA>
## 147 Terrimicrobium <NA>
## 148 <NA> <NA>
## 149 <NA> <NA>
## 150 <NA> <NA>
## 151 <NA> <NA>
## 152 Terrimonas <NA>
## 153 Edaphobaculum <NA>
## 154 Taibaiella <NA>
## 155 Candidatus Amoebophilus <NA>
## 156 <NA> <NA>
## 157 Acidibacter <NA>
## 158 Luteimonas vadosa
## 159 Dokdonella <NA>
## 160 <NA> <NA>
## 161 Aquicella <NA>
## 162 <NA> <NA>
## 163 <NA> <NA>
## 164 Sphingomonas naasensis
## 165 Dongia <NA>
## 166 Reyranella <NA>
## 167 Pseudolabrys <NA>
## 168 <NA> <NA>
## 169 Sphingobium <NA>
## 170 Caulobacter <NA>
## 171 Solirubrobacter <NA>
## 172 <NA> <NA>
## 173 Galbitalea <NA>
## 174 Mucilaginibacter <NA>
## 175 Bacillus <NA>
## 176 <NA> <NA>
## 177 <NA> <NA>
## 178 <NA> <NA>
## 179 <NA> <NA>
## 180 Gemmata <NA>
## 181 <NA> <NA>
## 182 Terrimonas <NA>
## 183 <NA> <NA>
## 184 Edaphobaculum <NA>
## 185 Coxiella <NA>
## 186 <NA> <NA>
## 187 Alkanibacter <NA>
## 188 <NA> <NA>
## 189 <NA> <NA>
## 190 <NA> <NA>
## 191 Burkholderia-Caballeronia-Paraburkholderia <NA>
## 192 <NA> <NA>
## 193 Variovorax <NA>
## 194 Ferrovibrio soli
## 195 <NA> <NA>
## 196 Methylobacterium-Methylorubrum <NA>
## 197 Bosea thiooxidans
## 198 Bosea <NA>
## 199 Tardiphaga robiniae
## 200 Starkeya <NA>
## 201 Hyphomicrobium <NA>
## 202 Sphingopyxis <NA>
## 203 Altererythrobacter <NA>
## 204 Mesorhizobium <NA>
## 205 Conexibacter <NA>
## 206 Pajaroellobacter <NA>
## 207 Pajaroellobacter <NA>
## 208 Sorangium <NA>
## 209 <NA> <NA>
## 210 Promicromonospora <NA>
## 211 Leifsonia <NA>
## 212 <NA> aoyamense
## 213 Agromyces <NA>
## 214 Mycobacterium <NA>
## 215 Herbidospora mongoliensis
## 216 Nonomuraea <NA>
## 217 Actinocorallia <NA>
## 218 Streptomyces <NA>
## 219 Pedobacter <NA>
## 220 <NA> <NA>
## 221 <NA> <NA>
## 222 Paenibacillus lautus
## 223 Paenibacillus <NA>
## 224 Paenibacillus <NA>
## 225 Paenibacillus <NA>
## 226 Paenibacillus <NA>
## 227 Paenibacillus <NA>
## 228 Domibacillus <NA>
## 229 Bacillus <NA>
## 230 Lysinibacillus <NA>
## 231 Lysinibacillus <NA>
## 232 Terrimicrobium <NA>
## 233 Terrimicrobium <NA>
## 234 Terrimicrobium <NA>
## 235 Chthoniobacter <NA>
## 236 Chthoniobacter <NA>
## 237 Verrucomicrobium spinosum
## 238 Gemmata <NA>
## 239 Singulisphaera <NA>
## 240 Edaphobacter <NA>
## 241 Ohtaekwangia <NA>
## 242 Ohtaekwangia <NA>
## 243 Pseudoflavitalea <NA>
## 244 Pseudoflavitalea <NA>
## 245 Pseudoflavitalea <NA>
## 246 Niastella <NA>
## 247 Niastella hibisci
## 248 Niastella <NA>
## 249 Niastella <NA>
## 250 Flavitalea <NA>
## 251 Chitinophaga ginsengihumi
## 252 Chitinophaga arvensicola
## 253 Chitinophaga soli
## 254 Chitinophaga <NA>
## 255 Chitinophaga <NA>
## 256 Taibaiella <NA>
## 257 <NA> <NA>
## 258 Steroidobacter <NA>
## 259 Acidibacter <NA>
## 260 Acidibacter <NA>
## 261 Acidibacter <NA>
## 262 Tahibacter <NA>
## 263 Xanthomonas <NA>
## 264 <NA> <NA>
## 265 <NA> <NA>
## 266 Massilia armeniaca
## 267 <NA> <NA>
## 268 Pseudoduganella <NA>
## 269 Pseudoduganella eburnea
## 270 Massilia <NA>
## 271 Massilia <NA>
## 272 Cupriavidus <NA>
## 273 Cupriavidus <NA>
## 274 Achromobacter <NA>
## 275 <NA> paradoxus
## 276 Xylophilus <NA>
## 277 Rhizobacter <NA>
## 278 Sphingomonas mucosissima
## 279 Reyranella <NA>
## 280 Microvirga <NA>
## 281 Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium <NA>
## 282 Devosia neptuniae
## 283 Shinella <NA>
## 284 <NA> <NA>
## 285 <NA> <NA>
## 286 Ensifer <NA>
## 287 Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium <NA>
## 288 Neorhizobium <NA>
## 289 Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium azooxidifex
## 290 <NA> <NA>
## 291 Phenylobacterium mobile
## 292 Haliangium <NA>
## 293 Pajaroellobacter <NA>
## 294 Cellulosimicrobium <NA>
## 295 Microbacterium <NA>
## 296 Mycobacterium <NA>
## 297 Glycomyces <NA>
## 298 Streptomyces <NA>
## 299 Streptomyces <NA>
## 300 Streptomyces <NA>
## 301 <NA> <NA>
## 302 Pedobacter panaciterrae
## 303 Roseimicrobium <NA>
## 304 Ohtaekwangia <NA>
## 305 Ohtaekwangia <NA>
## 306 Ohtaekwangia <NA>
## 307 Ohtaekwangia <NA>
## 308 Flavobacterium <NA>
## 309 Chryseobacterium ginsenosidimutans
## 310 Chryseobacterium <NA>
## 311 Flavitalea <NA>
## 312 Niastella <NA>
## 313 Niastella <NA>
## 314 Pseudoflavitalea <NA>
## 315 Chitinophaga <NA>
## 316 Chitinophaga <NA>
## 317 Chitinophaga humicola
## 318 Chitinophaga <NA>
## 319 Chitinophaga pinensis
## 320 Chitinophaga <NA>
## 321 Chitinophaga <NA>
## 322 Chitinophaga <NA>
## 323 Chitinophaga <NA>
## 324 Dyadobacter <NA>
## 325 Steroidobacter agariperforans
## 326 Pseudoxanthomonas <NA>
## 327 Stenotrophomonas <NA>
## 328 Stenotrophomonas <NA>
## 329 Lysobacter <NA>
## 330 Lysobacter <NA>
## 331 <NA> <NA>
## 332 Legionella <NA>
## 333 Pseudomonas <NA>
## 334 Pseudomonas <NA>
## 335 Pseudomonas <NA>
## 336 Pseudomonas <NA>
## 337 Pseudomonas <NA>
## 338 Klebsiella <NA>
## 339 <NA> <NA>
## 340 <NA> <NA>
## 341 <NA> <NA>
## 342 Cupriavidus metallidurans
## 343 Burkholderia-Caballeronia-Paraburkholderia <NA>
## 344 <NA> <NA>
## 345 Achromobacter <NA>
## 346 GKS98 freshwater group <NA>
## 347 Caenimonas <NA>
## 348 Sphingomonas <NA>
## 349 Sphingomonas <NA>
## 350 Hephaestia <NA>
## 351 Ferrovibrio <NA>
## 352 Reyranella <NA>
## 353 Reyranella <NA>
## 354 <NA> <NA>
## 355 Kaistia adipata
## 356 <NA> <NA>
## 357 Microvirga <NA>
## 358 Methylobacterium-Methylorubrum jeotgali
## 359 <NA> <NA>
## 360 Bradyrhizobium <NA>
## 361 <NA> <NA>
## 362 Hyphomicrobium <NA>
## 363 Altererythrobacter <NA>
## 364 Devosia <NA>
## 365 Phyllobacterium <NA>
## 366 <NA> <NA>
## 367 Caulobacter haematophilum
## 368 Phenylobacterium conjunctum
## 369 <NA> <NA>
## 370 <NA> <NA>
## 371 Conexibacter <NA>
## 372 <NA> <NA>
## 373 KD3-10 <NA>
## 374 Myxococcus <NA>
## 375 Archangium <NA>
## 376 Phaselicystis <NA>
## 377 Bdellovibrio bacteriovorus
## 378 Cutibacterium <NA>
## 379 Aeromicrobium <NA>
## 380 Kribbella <NA>
## 381 Iamia <NA>
## 382 Cellulomonas <NA>
## 383 Oerskovia <NA>
## 384 Leifsonia <NA>
## 385 Microbacterium <NA>
## 386 Hamadaea <NA>
## 387 Actinoplanes atraurantiacus
## 388 <NA> <NA>
## 389 Amycolatopsis <NA>
## 390 Herbidospora <NA>
## 391 Streptomyces <NA>
## 392 Streptomyces <NA>
## 393 <NA> <NA>
## 394 Sphingobacterium <NA>
## 395 Sphingobacterium <NA>
## 396 Mucilaginibacter <NA>
## 397 Mucilaginibacter <NA>
## 398 <NA> <NA>
## 399 <NA> <NA>
## 400 Levilactobacillus <NA>
## 401 Fructilactobacillus <NA>
## 402 Fructilactobacillus <NA>
## 403 Lactiplantibacillus <NA>
## 404 Paenibacillus <NA>
## 405 <NA> <NA>
## 406 <NA> <NA>
## 407 Terrimicrobium <NA>
## 408 Terrimicrobium <NA>
## 409 Terrimicrobium <NA>
## 410 Terrimicrobium <NA>
## 411 Terrimicrobium <NA>
## 412 Luteolibacter gellanilyticus
## 413 <NA> <NA>
## 414 <NA> <NA>
## 415 <NA> <NA>
## 416 Hassallia <NA>
## 417 <NA> <NA>
## 418 Ohtaekwangia <NA>
## 419 Ohtaekwangia <NA>
## 420 Pseudoflavitalea <NA>
## 421 Niastella <NA>
## 422 Niastella <NA>
## 423 Chitinophaga <NA>
## 424 Chitinophaga <NA>
## 425 Chitinophaga <NA>
## 426 <NA> <NA>
## 427 Dyadobacter ginsengisoli
## 428 <NA> <NA>
## 429 <NA> <NA>
## 430 Acidibacter <NA>
## 431 <NA> <NA>
## 432 Pseudoxanthomonas helianthi
## 433 Xanthomonas <NA>
## 434 Lysobacter <NA>
## 435 <NA> <NA>
## 436 Dokdonella <NA>
## 437 Coxiella <NA>
## 438 <NA> <NA>
## 439 Pseudomonas <NA>
## 440 Pseudomonas <NA>
## 441 Pseudomonas <NA>
## 442 Pseudomonas <NA>
## 443 Pseudomonas <NA>
## 444 Escherichia-Shigella <NA>
## 445 Pantoea <NA>
## D10_D10_5_straw-16s-D10-5 D03_D03_3_straw-16s-D03-3
## 1 19 0
## 2 7 0
## 3 204 0
## 4 0 0
## 5 0 0
## 6 94 0
## 7 0 0
## 8 10 0
## 9 0 0
## 10 90 0
## 11 24 0
## 12 49 0
## 13 0 214
## 14 0 0
## 15 34 0
## 16 15 0
## 17 7 0
## 18 83 0
## 19 0 0
## 20 26 0
## 21 0 0
## 22 29 0
## 23 71 0
## 24 72 0
## 25 0 0
## 26 0 0
## 27 48 0
## 28 5 0
## 29 0 0
## 30 0 0
## 31 0 0
## 32 53 0
## 33 0 0
## 34 0 0
## 35 52 0
## 36 0 0
## 37 36 0
## 38 0 0
## 39 29 0
## 40 126 0
## 41 59 0
## 42 0 0
## 43 0 0
## 44 0 0
## 45 0 0
## 46 0 0
## 47 0 0
## 48 0 0
## 49 0 0
## 50 0 0
## 51 0 0
## 52 39 0
## 53 0 0
## 54 0 0
## 55 0 0
## 56 0 0
## 57 0 0
## 58 0 0
## 59 0 0
## 60 18 0
## 61 12 0
## 62 21 0
## 63 0 0
## 64 0 0
## 65 0 0
## 66 0 0
## 67 69 0
## 68 0 0
## 69 0 0
## 70 150 0
## 71 54 0
## 72 0 0
## 73 0 0
## 74 0 0
## 75 0 0
## 76 0 0
## 77 0 0
## 78 68 0
## 79 0 0
## 80 0 0
## 81 118 0
## 82 0 0
## 83 0 0
## 84 28 0
## 85 0 0
## 86 0 0
## 87 120 0
## 88 101 0
## 89 357 84
## 90 0 0
## 91 608 28
## 92 130 0
## 93 81 0
## 94 726 0
## 95 336 152
## 96 304 123
## 97 59 0
## 98 262 0
## 99 22 0
## 100 322 238
## 101 300 206
## 102 1152 857
## 103 422 733
## 104 124 301
## 105 946 647
## 106 137 289
## 107 94 49
## 108 0 0
## 109 378 0
## 110 0 104
## 111 4716 0
## 112 69 0
## 113 755 0
## 114 90 0
## 115 1533 0
## 116 423 0
## 117 0 0
## 118 0 0
## 119 0 0
## 120 0 0
## 121 8 0
## 122 0 0
## 123 8 0
## 124 0 0
## 125 0 0
## 126 0 0
## 127 0 0
## 128 0 0
## 129 0 0
## 130 0 0
## 131 0 0
## 132 0 0
## 133 0 0
## 134 0 0
## 135 0 0
## 136 0 0
## 137 0 0
## 138 0 0
## 139 0 0
## 140 0 0
## 141 79 65
## 142 0 0
## 143 0 0
## 144 0 0
## 145 0 0
## 146 0 0
## 147 0 0
## 148 0 0
## 149 0 0
## 150 0 0
## 151 0 0
## 152 0 0
## 153 0 0
## 154 0 0
## 155 10 0
## 156 0 0
## 157 0 0
## 158 0 0
## 159 0 0
## 160 17 0
## 161 0 0
## 162 0 0
## 163 15 0
## 164 0 0
## 165 0 0
## 166 0 0
## 167 0 0
## 168 0 0
## 169 0 0
## 170 212 0
## 171 0 0
## 172 0 0
## 173 0 0
## 174 40 0
## 175 43 0
## 176 0 0
## 177 0 0
## 178 0 0
## 179 0 0
## 180 0 0
## 181 0 0
## 182 0 0
## 183 0 0
## 184 20 0
## 185 0 0
## 186 0 0
## 187 0 0
## 188 0 0
## 189 0 0
## 190 0 0
## 191 486 0
## 192 91 81
## 193 338 0
## 194 0 0
## 195 72 0
## 196 0 0
## 197 0 74
## 198 0 0
## 199 29 39
## 200 65 100
## 201 32 0
## 202 21 0
## 203 0 0
## 204 23 36
## 205 0 0
## 206 0 25
## 207 0 0
## 208 42 280
## 209 0 0
## 210 0 53
## 211 0 0
## 212 0 0
## 213 0 0
## 214 0 95
## 215 0 19
## 216 0 0
## 217 35 79
## 218 0 0
## 219 0 0
## 220 90 0
## 221 23 0
## 222 46 0
## 223 0 0
## 224 124 0
## 225 313 504
## 226 0 0
## 227 8 0
## 228 9 41
## 229 68 183
## 230 49 144
## 231 38 42
## 232 203 0
## 233 0 0
## 234 0 0
## 235 47 0
## 236 0 49
## 237 48 0
## 238 48 0
## 239 0 0
## 240 227 0
## 241 63 0
## 242 0 0
## 243 0 0
## 244 120 289
## 245 82 296
## 246 25 0
## 247 0 110
## 248 148 0
## 249 0 0
## 250 506 0
## 251 117 13
## 252 0 84
## 253 0 0
## 254 20 107
## 255 84 0
## 256 0 0
## 257 22 0
## 258 0 0
## 259 0 0
## 260 62 0
## 261 0 45
## 262 0 0
## 263 0 14
## 264 59 0
## 265 0 0
## 266 0 790
## 267 0 119
## 268 0 0
## 269 0 86
## 270 0 113
## 271 0 0
## 272 0 167
## 273 34 1130
## 274 34 707
## 275 0 493
## 276 0 265
## 277 0 76
## 278 0 0
## 279 0 0
## 280 0 140
## 281 0 56
## 282 0 47
## 283 0 51
## 284 0 159
## 285 0 793
## 286 0 100
## 287 0 458
## 288 0 230
## 289 0 63
## 290 0 113
## 291 0 72
## 292 0 0
## 293 0 0
## 294 0 136
## 295 0 264
## 296 0 200
## 297 0 93
## 298 0 387
## 299 0 248
## 300 0 133
## 301 0 47
## 302 41 64
## 303 0 91
## 304 0 171
## 305 0 18
## 306 0 145
## 307 0 136
## 308 5 809
## 309 0 12
## 310 0 0
## 311 0 27
## 312 0 293
## 313 0 164
## 314 0 0
## 315 146 157
## 316 0 48
## 317 0 71
## 318 0 215
## 319 0 76
## 320 0 4696
## 321 0 52
## 322 0 1137
## 323 0 83
## 324 0 505
## 325 0 60
## 326 0 0
## 327 0 78
## 328 0 29
## 329 0 66
## 330 0 974
## 331 0 0
## 332 10 28
## 333 0 213
## 334 0 1134
## 335 0 525
## 336 0 180
## 337 0 517
## 338 0 24
## 339 0 0
## 340 0 0
## 341 0 0
## 342 0 0
## 343 0 0
## 344 0 321
## 345 0 0
## 346 0 0
## 347 0 0
## 348 26 0
## 349 0 62
## 350 0 0
## 351 0 0
## 352 0 0
## 353 0 0
## 354 0 10
## 355 0 53
## 356 0 0
## 357 0 138
## 358 16 0
## 359 0 0
## 360 0 0
## 361 0 0
## 362 0 0
## 363 0 0
## 364 0 0
## 365 0 63
## 366 0 57
## 367 0 74
## 368 0 0
## 369 0 0
## 370 0 0
## 371 0 0
## 372 0 0
## 373 0 0
## 374 0 113
## 375 0 0
## 376 6 0
## 377 0 8
## 378 0 0
## 379 0 11
## 380 0 0
## 381 0 0
## 382 0 0
## 383 0 94
## 384 0 0
## 385 0 0
## 386 0 0
## 387 0 0
## 388 0 0
## 389 0 0
## 390 0 0
## 391 0 0
## 392 0 0
## 393 0 47
## 394 0 0
## 395 0 0
## 396 0 0
## 397 0 0
## 398 0 0
## 399 0 0
## 400 105 0
## 401 278 0
## 402 0 0
## 403 32 0
## 404 0 24
## 405 0 0
## 406 0 0
## 407 0 0
## 408 0 0
## 409 79 0
## 410 0 0
## 411 0 0
## 412 0 76
## 413 0 0
## 414 0 0
## 415 0 0
## 416 0 0
## 417 0 0
## 418 0 0
## 419 0 0
## 420 0 0
## 421 0 0
## 422 0 65
## 423 0 0
## 424 0 0
## 425 0 0
## 426 0 0
## 427 0 0
## 428 0 0
## 429 0 0
## 430 0 0
## 431 0 0
## 432 0 0
## 433 0 0
## 434 0 0
## 435 0 0
## 436 0 0
## 437 0 0
## 438 0 0
## 439 0 0
## 440 0 409
## 441 0 347
## 442 0 60
## 443 0 0
## 444 96 0
## 445 0 0
## D07_D07_3_straw-16s-D07-3 D05_D05_5_straw-16s-D05-5
## 1 0 0
## 2 0 0
## 3 0 0
## 4 0 0
## 5 0 0
## 6 23 67
## 7 0 0
## 8 0 0
## 9 0 0
## 10 0 0
## 11 0 0
## 12 11 0
## 13 0 213
## 14 0 0
## 15 0 0
## 16 0 0
## 17 0 0
## 18 0 43
## 19 0 0
## 20 0 0
## 21 0 0
## 22 0 0
## 23 0 19
## 24 0 0
## 25 0 0
## 26 0 0
## 27 0 0
## 28 0 0
## 29 0 0
## 30 0 0
## 31 0 0
## 32 56 0
## 33 0 0
## 34 0 0
## 35 0 0
## 36 0 0
## 37 0 0
## 38 0 0
## 39 0 0
## 40 0 0
## 41 0 0
## 42 0 0
## 43 0 0
## 44 0 0
## 45 0 0
## 46 0 0
## 47 0 0
## 48 0 0
## 49 0 0
## 50 0 0
## 51 0 0
## 52 0 0
## 53 0 0
## 54 0 0
## 55 0 0
## 56 0 0
## 57 0 0
## 58 0 0
## 59 19 9
## 60 0 0
## 61 0 0
## 62 0 0
## 63 0 0
## 64 0 0
## 65 0 0
## 66 0 0
## 67 0 0
## 68 0 0
## 69 0 0
## 70 0 0
## 71 0 0
## 72 0 0
## 73 0 0
## 74 0 0
## 75 0 0
## 76 0 0
## 77 0 0
## 78 0 102
## 79 0 0
## 80 0 0
## 81 13 74
## 82 0 0
## 83 0 0
## 84 0 0
## 85 0 0
## 86 0 0
## 87 124 0
## 88 778 0
## 89 3520 979
## 90 79 0
## 91 270 86
## 92 0 0
## 93 715 147
## 94 35 89
## 95 211 300
## 96 244 178
## 97 47 0
## 98 164 79
## 99 260 65
## 100 302 99
## 101 574 130
## 102 1740 1419
## 103 1041 321
## 104 1492 122
## 105 1692 925
## 106 769 90
## 107 408 203
## 108 0 0
## 109 62 107
## 110 152 57
## 111 93 0
## 112 191 179
## 113 0 82
## 114 92 141
## 115 0 30
## 116 53 248
## 117 0 0
## 118 0 0
## 119 0 0
## 120 0 0
## 121 0 0
## 122 0 0
## 123 0 0
## 124 0 0
## 125 0 0
## 126 0 0
## 127 0 0
## 128 0 0
## 129 0 0
## 130 0 0
## 131 0 0
## 132 0 0
## 133 0 0
## 134 0 0
## 135 0 0
## 136 0 0
## 137 0 0
## 138 0 0
## 139 0 0
## 140 47 0
## 141 62 0
## 142 0 0
## 143 0 0
## 144 0 0
## 145 0 0
## 146 0 0
## 147 0 0
## 148 0 0
## 149 0 0
## 150 0 0
## 151 0 0
## 152 0 0
## 153 0 0
## 154 0 0
## 155 0 0
## 156 0 0
## 157 0 0
## 158 0 0
## 159 0 0
## 160 0 0
## 161 0 0
## 162 0 0
## 163 0 0
## 164 0 0
## 165 0 0
## 166 0 0
## 167 0 0
## 168 0 0
## 169 0 0
## 170 0 0
## 171 0 0
## 172 0 0
## 173 0 0
## 174 0 0
## 175 0 0
## 176 0 0
## 177 0 0
## 178 0 0
## 179 0 0
## 180 0 0
## 181 0 0
## 182 0 0
## 183 0 0
## 184 0 0
## 185 0 0
## 186 0 0
## 187 0 0
## 188 0 0
## 189 0 0
## 190 0 0
## 191 0 19
## 192 206 83
## 193 30 68
## 194 0 18
## 195 0 0
## 196 287 0
## 197 0 58
## 198 0 0
## 199 64 94
## 200 1296 231
## 201 47 0
## 202 13 30
## 203 0 17
## 204 73 159
## 205 0 0
## 206 0 26
## 207 97 0
## 208 32 43
## 209 0 63
## 210 108 245
## 211 40 0
## 212 65 70
## 213 11 58
## 214 46 48
## 215 262 88
## 216 49 43
## 217 40 706
## 218 234 0
## 219 18 0
## 220 0 0
## 221 0 16
## 222 0 0
## 223 117 0
## 224 228 0
## 225 604 174
## 226 0 0
## 227 46 0
## 228 46 12
## 229 337 70
## 230 191 49
## 231 62 0
## 232 89 0
## 233 0 32
## 234 0 0
## 235 0 0
## 236 17 59
## 237 0 53
## 238 0 0
## 239 57 0
## 240 0 0
## 241 0 48
## 242 0 40
## 243 0 38
## 244 225 623
## 245 0 314
## 246 0 0
## 247 76 614
## 248 0 0
## 249 0 0
## 250 0 0
## 251 99 80
## 252 0 257
## 253 0 64
## 254 74 161
## 255 0 0
## 256 43 0
## 257 0 0
## 258 0 0
## 259 0 0
## 260 0 0
## 261 10 0
## 262 0 0
## 263 0 0
## 264 0 0
## 265 0 0
## 266 0 129
## 267 0 265
## 268 0 0
## 269 22 478
## 270 0 56
## 271 0 0
## 272 0 242
## 273 364 1795
## 274 110 741
## 275 33 430
## 276 0 220
## 277 0 0
## 278 0 49
## 279 49 38
## 280 0 123
## 281 0 38
## 282 0 0
## 283 0 0
## 284 0 159
## 285 0 495
## 286 34 39
## 287 0 109
## 288 0 198
## 289 0 58
## 290 0 28
## 291 0 26
## 292 14 53
## 293 0 168
## 294 0 47
## 295 0 268
## 296 297 126
## 297 0 116
## 298 264 389
## 299 45 514
## 300 0 60
## 301 0 0
## 302 0 0
## 303 18 207
## 304 0 145
## 305 0 59
## 306 0 387
## 307 0 73
## 308 0 498
## 309 15 0
## 310 0 50
## 311 0 91
## 312 0 272
## 313 0 629
## 314 0 416
## 315 22 760
## 316 0 17
## 317 0 190
## 318 0 281
## 319 0 0
## 320 209 3009
## 321 0 0
## 322 41 142
## 323 0 34
## 324 337 849
## 325 0 111
## 326 13 52
## 327 10 86
## 328 0 19
## 329 0 66
## 330 24 734
## 331 0 55
## 332 14 41
## 333 0 0
## 334 0 337
## 335 62 359
## 336 0 91
## 337 0 1529
## 338 0 38
## 339 0 0
## 340 0 0
## 341 0 0
## 342 167 0
## 343 0 0
## 344 0 90
## 345 0 0
## 346 0 0
## 347 0 0
## 348 363 0
## 349 0 0
## 350 0 0
## 351 0 0
## 352 0 0
## 353 0 0
## 354 0 28
## 355 0 33
## 356 0 0
## 357 0 0
## 358 212 0
## 359 0 0
## 360 0 0
## 361 0 0
## 362 0 0
## 363 0 0
## 364 0 0
## 365 0 38
## 366 0 47
## 367 0 46
## 368 0 0
## 369 0 0
## 370 0 0
## 371 0 0
## 372 0 0
## 373 0 0
## 374 0 97
## 375 0 0
## 376 0 92
## 377 0 0
## 378 131 0
## 379 0 85
## 380 0 0
## 381 0 0
## 382 0 23
## 383 0 0
## 384 0 0
## 385 0 0
## 386 0 0
## 387 0 0
## 388 0 0
## 389 0 0
## 390 0 0
## 391 0 98
## 392 69 0
## 393 0 92
## 394 0 0
## 395 0 0
## 396 0 0
## 397 0 0
## 398 0 0
## 399 0 0
## 400 674 0
## 401 1634 0
## 402 246 0
## 403 237 0
## 404 74 0
## 405 61 0
## 406 0 0
## 407 0 0
## 408 0 0
## 409 0 0
## 410 0 0
## 411 0 0
## 412 0 0
## 413 0 0
## 414 0 0
## 415 0 0
## 416 0 0
## 417 0 0
## 418 0 0
## 419 0 0
## 420 0 0
## 421 0 62
## 422 0 163
## 423 0 0
## 424 0 0
## 425 0 149
## 426 0 0
## 427 101 0
## 428 0 0
## 429 0 0
## 430 0 0
## 431 0 0
## 432 0 0
## 433 0 0
## 434 0 42
## 435 0 0
## 436 0 0
## 437 0 0
## 438 0 0
## 439 0 0
## 440 0 0
## 441 0 0
## 442 0 0
## 443 0 0
## 444 867 0
## 445 136 0
## D03_D03_2_straw-16s-D03-2 D05_D05_4_straw-16s-D05-4
## 1 0 0
## 2 0 0
## 3 0 0
## 4 0 0
## 5 0 0
## 6 0 0
## 7 0 0
## 8 0 0
## 9 0 0
## 10 0 0
## 11 0 0
## 12 0 0
## 13 86 0
## 14 0 0
## 15 0 0
## 16 0 0
## 17 0 0
## 18 0 0
## 19 0 0
## 20 0 0
## 21 0 0
## 22 0 0
## 23 0 0
## 24 0 0
## 25 17 0
## 26 0 0
## 27 0 0
## 28 0 0
## 29 0 0
## 30 0 0
## 31 0 0
## 32 0 0
## 33 0 0
## 34 0 0
## 35 0 0
## 36 0 0
## 37 0 0
## 38 0 0
## 39 0 0
## 40 5 0
## 41 0 0
## 42 0 0
## 43 0 0
## 44 0 0
## 45 0 0
## 46 0 0
## 47 0 0
## 48 0 0
## 49 0 0
## 50 0 0
## 51 0 0
## 52 0 0
## 53 0 0
## 54 0 0
## 55 0 0
## 56 0 0
## 57 0 0
## 58 0 0
## 59 0 0
## 60 0 0
## 61 0 0
## 62 0 0
## 63 0 0
## 64 0 0
## 65 0 0
## 66 0 0
## 67 0 0
## 68 0 0
## 69 0 0
## 70 0 0
## 71 0 0
## 72 0 0
## 73 0 0
## 74 0 0
## 75 0 0
## 76 0 0
## 77 0 0
## 78 0 0
## 79 0 0
## 80 0 0
## 81 0 0
## 82 0 0
## 83 0 0
## 84 0 0
## 85 0 0
## 86 0 0
## 87 0 0
## 88 0 184
## 89 0 2170
## 90 0 0
## 91 0 54
## 92 0 0
## 93 0 55
## 94 0 0
## 95 0 176
## 96 89 116
## 97 0 0
## 98 0 0
## 99 0 0
## 100 53 185
## 101 68 116
## 102 91 511
## 103 91 416
## 104 52 213
## 105 161 578
## 106 0 167
## 107 17 72
## 108 0 0
## 109 101 0
## 110 98 1824
## 111 0 97
## 112 0 0
## 113 0 339
## 114 0 114
## 115 0 0
## 116 0 0
## 117 0 0
## 118 0 0
## 119 0 0
## 120 0 0
## 121 0 0
## 122 0 0
## 123 0 0
## 124 0 0
## 125 0 0
## 126 0 0
## 127 0 0
## 128 0 0
## 129 0 0
## 130 0 0
## 131 0 0
## 132 0 0
## 133 0 0
## 134 0 0
## 135 0 0
## 136 0 0
## 137 0 0
## 138 0 0
## 139 0 0
## 140 0 0
## 141 0 0
## 142 0 0
## 143 0 0
## 144 0 0
## 145 0 0
## 146 0 0
## 147 0 0
## 148 0 0
## 149 0 0
## 150 0 0
## 151 0 0
## 152 0 0
## 153 0 0
## 154 0 0
## 155 0 0
## 156 0 0
## 157 0 0
## 158 0 0
## 159 0 0
## 160 0 0
## 161 0 0
## 162 0 0
## 163 0 0
## 164 0 0
## 165 0 0
## 166 0 0
## 167 0 0
## 168 0 0
## 169 0 0
## 170 152 0
## 171 0 0
## 172 0 0
## 173 0 0
## 174 0 0
## 175 0 0
## 176 0 0
## 177 0 0
## 178 0 0
## 179 0 0
## 180 0 0
## 181 0 0
## 182 0 0
## 183 0 0
## 184 0 0
## 185 0 0
## 186 0 0
## 187 0 0
## 188 0 0
## 189 0 0
## 190 0 0
## 191 0 0
## 192 0 270
## 193 0 55
## 194 0 0
## 195 0 0
## 196 0 42
## 197 0 0
## 198 120 0
## 199 69 31
## 200 120 293
## 201 0 0
## 202 102 0
## 203 0 0
## 204 49 0
## 205 0 0
## 206 0 0
## 207 0 42
## 208 59 12
## 209 0 0
## 210 0 447
## 211 0 0
## 212 0 0
## 213 0 0
## 214 29 42
## 215 0 53
## 216 0 0
## 217 0 0
## 218 0 46
## 219 0 0
## 220 0 0
## 221 0 0
## 222 0 0
## 223 0 0
## 224 0 0
## 225 0 286
## 226 0 0
## 227 0 0
## 228 0 0
## 229 28 0
## 230 0 53
## 231 0 0
## 232 39 0
## 233 0 0
## 234 0 0
## 235 0 0
## 236 0 0
## 237 39 0
## 238 0 0
## 239 0 0
## 240 0 0
## 241 0 0
## 242 0 22
## 243 0 0
## 244 211 0
## 245 105 173
## 246 0 0
## 247 88 282
## 248 0 0
## 249 0 44
## 250 0 0
## 251 0 228
## 252 107 14
## 253 0 0
## 254 0 47
## 255 0 0
## 256 0 0
## 257 0 0
## 258 0 0
## 259 0 0
## 260 0 0
## 261 14 0
## 262 0 0
## 263 213 0
## 264 0 0
## 265 15 11
## 266 0 64
## 267 0 64
## 268 161 0
## 269 0 0
## 270 0 0
## 271 61 79
## 272 52 0
## 273 623 479
## 274 635 717
## 275 389 41
## 276 32 0
## 277 50 0
## 278 0 0
## 279 8 0
## 280 0 35
## 281 0 0
## 282 204 0
## 283 195 0
## 284 0 0
## 285 88 0
## 286 0 0
## 287 1566 0
## 288 129 0
## 289 118 0
## 290 71 0
## 291 20 0
## 292 0 0
## 293 0 0
## 294 72 0
## 295 125 0
## 296 49 241
## 297 0 0
## 298 0 170
## 299 0 192
## 300 0 0
## 301 11 0
## 302 43 16
## 303 0 0
## 304 76 0
## 305 74 0
## 306 324 78
## 307 59 171
## 308 232 32
## 309 0 0
## 310 0 169
## 311 31 0
## 312 27 27
## 313 0 0
## 314 59 77
## 315 319 465
## 316 313 15
## 317 67 0
## 318 275 335
## 319 59 295
## 320 1893 2010
## 321 55 79
## 322 2294 86
## 323 73 0
## 324 50 466
## 325 56 0
## 326 173 0
## 327 630 0
## 328 825 0
## 329 0 0
## 330 618 48
## 331 0 51
## 332 6 23
## 333 0 0
## 334 1150 0
## 335 621 80
## 336 0 0
## 337 161 0
## 338 104 0
## 339 0 0
## 340 0 0
## 341 0 0
## 342 0 0
## 343 0 0
## 344 0 51
## 345 121 0
## 346 0 0
## 347 0 0
## 348 0 0
## 349 0 0
## 350 0 0
## 351 0 0
## 352 0 0
## 353 0 0
## 354 0 7
## 355 131 0
## 356 0 0
## 357 0 0
## 358 0 0
## 359 0 0
## 360 0 0
## 361 0 0
## 362 0 0
## 363 0 0
## 364 0 0
## 365 0 0
## 366 0 0
## 367 106 0
## 368 0 0
## 369 0 0
## 370 0 0
## 371 0 0
## 372 0 0
## 373 0 0
## 374 93 0
## 375 0 0
## 376 0 0
## 377 4 0
## 378 0 0
## 379 0 0
## 380 0 0
## 381 0 0
## 382 0 0
## 383 0 0
## 384 0 0
## 385 0 0
## 386 0 0
## 387 0 85
## 388 0 0
## 389 0 0
## 390 0 0
## 391 0 34
## 392 0 32
## 393 0 0
## 394 0 91
## 395 0 58
## 396 0 0
## 397 0 0
## 398 0 0
## 399 0 0
## 400 0 0
## 401 0 0
## 402 0 0
## 403 0 0
## 404 0 0
## 405 0 0
## 406 0 0
## 407 0 0
## 408 0 0
## 409 0 0
## 410 55 0
## 411 0 0
## 412 212 0
## 413 0 0
## 414 0 0
## 415 0 0
## 416 0 0
## 417 0 0
## 418 0 0
## 419 0 0
## 420 0 0
## 421 0 0
## 422 0 0
## 423 0 0
## 424 0 0
## 425 0 0
## 426 0 0
## 427 0 0
## 428 0 0
## 429 0 0
## 430 0 0
## 431 0 0
## 432 0 0
## 433 0 0
## 434 36 53
## 435 0 0
## 436 0 0
## 437 0 0
## 438 0 0
## 439 0 0
## 440 1485 82
## 441 0 0
## 442 0 0
## 443 30 0
## 444 0 0
## 445 0 0
## D08_D08_3_straw-16s-D08-3 D05_D05_2_straw-16s-D05-2
## 1 0 0
## 2 0 0
## 3 0 0
## 4 0 0
## 5 0 0
## 6 46 0
## 7 0 0
## 8 0 7
## 9 0 0
## 10 0 0
## 11 0 0
## 12 0 0
## 13 36 115
## 14 0 0
## 15 0 0
## 16 0 0
## 17 0 0
## 18 0 37
## 19 0 0
## 20 0 0
## 21 0 0
## 22 0 0
## 23 0 6
## 24 0 6
## 25 0 0
## 26 0 0
## 27 0 0
## 28 0 0
## 29 0 0
## 30 0 0
## 31 0 0
## 32 0 0
## 33 0 0
## 34 0 0
## 35 0 0
## 36 0 0
## 37 0 0
## 38 0 0
## 39 0 0
## 40 0 0
## 41 0 0
## 42 0 12
## 43 0 0
## 44 0 0
## 45 0 0
## 46 0 0
## 47 0 0
## 48 0 0
## 49 0 0
## 50 0 0
## 51 0 0
## 52 0 52
## 53 0 0
## 54 0 77
## 55 0 0
## 56 0 0
## 57 0 0
## 58 0 0
## 59 0 11
## 60 0 24
## 61 0 0
## 62 0 0
## 63 0 0
## 64 0 0
## 65 0 0
## 66 0 0
## 67 0 0
## 68 0 0
## 69 0 0
## 70 0 0
## 71 0 0
## 72 0 0
## 73 0 21
## 74 0 0
## 75 0 0
## 76 0 0
## 77 0 0
## 78 0 0
## 79 0 0
## 80 0 0
## 81 42 48
## 82 0 0
## 83 0 0
## 84 0 0
## 85 0 0
## 86 0 0
## 87 0 0
## 88 568 0
## 89 1914 154
## 90 86 0
## 91 47 41
## 92 32 0
## 93 173 76
## 94 0 32
## 95 172 742
## 96 46 163
## 97 19 13
## 98 155 0
## 99 275 0
## 100 95 0
## 101 78 44
## 102 270 356
## 103 299 136
## 104 113 123
## 105 434 200
## 106 0 63
## 107 246 139
## 108 0 0
## 109 0 0
## 110 98 367
## 111 648 0
## 112 124 0
## 113 0 224
## 114 51 0
## 115 0 0
## 116 246 0
## 117 0 0
## 118 0 0
## 119 0 0
## 120 0 0
## 121 0 0
## 122 0 0
## 123 0 0
## 124 0 0
## 125 0 43
## 126 0 0
## 127 0 0
## 128 0 0
## 129 0 0
## 130 0 0
## 131 0 0
## 132 0 0
## 133 0 0
## 134 0 0
## 135 0 21
## 136 0 0
## 137 0 0
## 138 0 0
## 139 0 0
## 140 0 0
## 141 0 0
## 142 0 0
## 143 0 0
## 144 0 0
## 145 0 0
## 146 0 0
## 147 0 0
## 148 0 0
## 149 0 0
## 150 0 0
## 151 0 0
## 152 0 0
## 153 0 0
## 154 0 0
## 155 0 0
## 156 0 0
## 157 0 0
## 158 0 0
## 159 0 0
## 160 0 0
## 161 0 0
## 162 0 0
## 163 0 0
## 164 0 0
## 165 0 0
## 166 0 0
## 167 0 0
## 168 0 0
## 169 0 0
## 170 0 64
## 171 0 0
## 172 0 0
## 173 0 0
## 174 0 0
## 175 0 0
## 176 0 0
## 177 0 0
## 178 0 0
## 179 0 0
## 180 0 0
## 181 0 0
## 182 0 0
## 183 0 0
## 184 0 0
## 185 0 0
## 186 0 0
## 187 0 0
## 188 0 0
## 189 0 0
## 190 0 0
## 191 25 0
## 192 37 0
## 193 34 0
## 194 0 0
## 195 0 0
## 196 64 0
## 197 0 70
## 198 22 0
## 199 56 141
## 200 463 37
## 201 0 0
## 202 11 16
## 203 0 51
## 204 36 99
## 205 37 0
## 206 0 0
## 207 0 0
## 208 20 95
## 209 0 0
## 210 229 0
## 211 34 34
## 212 60 0
## 213 0 0
## 214 24 41
## 215 97 61
## 216 18 0
## 217 0 88
## 218 0 0
## 219 5 108
## 220 0 0
## 221 0 8
## 222 0 0
## 223 0 0
## 224 0 190
## 225 259 0
## 226 0 0
## 227 0 0
## 228 0 0
## 229 109 0
## 230 45 0
## 231 0 27
## 232 0 143
## 233 0 0
## 234 24 0
## 235 0 0
## 236 0 0
## 237 0 76
## 238 0 0
## 239 0 0
## 240 0 0
## 241 0 0
## 242 0 58
## 243 0 50
## 244 59 820
## 245 147 0
## 246 0 0
## 247 336 96
## 248 0 0
## 249 11 0
## 250 209 0
## 251 29 18
## 252 28 53
## 253 0 0
## 254 125 133
## 255 0 0
## 256 99 0
## 257 0 0
## 258 0 0
## 259 0 0
## 260 0 0
## 261 0 0
## 262 0 20
## 263 0 21
## 264 0 0
## 265 0 0
## 266 0 45
## 267 0 103
## 268 0 0
## 269 0 0
## 270 0 0
## 271 0 82
## 272 0 32
## 273 461 506
## 274 0 635
## 275 0 359
## 276 0 58
## 277 0 31
## 278 0 88
## 279 0 35
## 280 0 43
## 281 0 0
## 282 0 51
## 283 0 89
## 284 0 0
## 285 0 189
## 286 0 0
## 287 0 73
## 288 0 137
## 289 0 72
## 290 0 0
## 291 0 0
## 292 0 32
## 293 0 33
## 294 0 0
## 295 0 104
## 296 100 83
## 297 0 6
## 298 98 0
## 299 0 49
## 300 0 0
## 301 0 116
## 302 0 0
## 303 19 189
## 304 0 40
## 305 16 127
## 306 0 0
## 307 0 28
## 308 22 323
## 309 0 63
## 310 0 80
## 311 0 83
## 312 0 52
## 313 0 48
## 314 27 219
## 315 87 144
## 316 0 0
## 317 0 74
## 318 0 0
## 319 0 0
## 320 183 1896
## 321 0 0
## 322 0 77
## 323 0 31
## 324 113 167
## 325 0 51
## 326 0 0
## 327 0 48
## 328 0 36
## 329 0 0
## 330 16 178
## 331 0 16
## 332 0 0
## 333 0 0
## 334 0 367
## 335 6 299
## 336 0 52
## 337 0 71
## 338 0 35
## 339 0 0
## 340 0 0
## 341 0 0
## 342 0 0
## 343 0 0
## 344 0 0
## 345 0 0
## 346 0 0
## 347 0 0
## 348 0 0
## 349 0 0
## 350 0 0
## 351 0 17
## 352 0 0
## 353 0 0
## 354 0 36
## 355 0 0
## 356 0 0
## 357 0 0
## 358 0 0
## 359 0 0
## 360 0 0
## 361 0 0
## 362 0 50
## 363 0 0
## 364 0 0
## 365 0 0
## 366 0 0
## 367 0 0
## 368 0 0
## 369 0 0
## 370 0 0
## 371 0 0
## 372 0 0
## 373 0 0
## 374 0 0
## 375 0 0
## 376 0 21
## 377 0 77
## 378 0 0
## 379 0 0
## 380 0 0
## 381 0 0
## 382 0 17
## 383 0 0
## 384 0 0
## 385 0 0
## 386 0 0
## 387 0 0
## 388 0 0
## 389 0 0
## 390 37 0
## 391 0 0
## 392 0 0
## 393 0 0
## 394 0 127
## 395 0 0
## 396 0 0
## 397 0 0
## 398 0 0
## 399 0 0
## 400 0 0
## 401 0 0
## 402 0 0
## 403 0 0
## 404 0 0
## 405 0 0
## 406 0 0
## 407 0 0
## 408 0 0
## 409 0 0
## 410 0 27
## 411 0 0
## 412 0 0
## 413 0 0
## 414 0 0
## 415 0 0
## 416 0 0
## 417 0 0
## 418 0 0
## 419 0 0
## 420 0 0
## 421 0 0
## 422 0 0
## 423 0 0
## 424 0 0
## 425 0 0
## 426 0 0
## 427 0 0
## 428 0 0
## 429 0 0
## 430 0 0
## 431 0 0
## 432 0 0
## 433 0 0
## 434 0 0
## 435 0 36
## 436 0 0
## 437 0 0
## 438 0 0
## 439 0 48
## 440 0 0
## 441 0 0
## 442 0 0
## 443 0 0
## 444 0 0
## 445 0 0
## D08_D08_1_straw-16s-D08-1 D10_D10_1_straw-16s-D10-1
## 1 0 49
## 2 0 23
## 3 99 105
## 4 21 0
## 5 0 0
## 6 46 60
## 7 0 27
## 8 0 47
## 9 0 0
## 10 0 0
## 11 27 15
## 12 0 0
## 13 65 41
## 14 0 0
## 15 31 0
## 16 0 13
## 17 0 9
## 18 36 0
## 19 0 0
## 20 0 0
## 21 0 0
## 22 24 48
## 23 0 63
## 24 0 63
## 25 14 0
## 26 0 39
## 27 40 117
## 28 18 41
## 29 0 0
## 30 0 18
## 31 0 53
## 32 40 130
## 33 0 0
## 34 0 0
## 35 0 0
## 36 0 0
## 37 0 36
## 38 62 22
## 39 40 51
## 40 0 105
## 41 0 4
## 42 21 10
## 43 0 18
## 44 0 0
## 45 0 0
## 46 0 0
## 47 0 0
## 48 0 8
## 49 0 0
## 50 0 0
## 51 0 0
## 52 25 113
## 53 0 23
## 54 0 52
## 55 0 0
## 56 0 39
## 57 0 0
## 58 0 0
## 59 11 13
## 60 14 84
## 61 0 0
## 62 0 18
## 63 0 0
## 64 0 0
## 65 0 0
## 66 0 0
## 67 33 0
## 68 0 46
## 69 0 15
## 70 0 58
## 71 109 0
## 72 0 0
## 73 0 0
## 74 24 40
## 75 0 0
## 76 57 92
## 77 0 9
## 78 23 14
## 79 0 0
## 80 0 0
## 81 66 184
## 82 0 0
## 83 0 0
## 84 0 125
## 85 0 0
## 86 0 0
## 87 0 0
## 88 61 0
## 89 309 343
## 90 0 81
## 91 297 313
## 92 0 0
## 93 134 213
## 94 0 34
## 95 327 218
## 96 28 29
## 97 0 33
## 98 0 131
## 99 852 308
## 100 143 0
## 101 247 0
## 102 383 463
## 103 130 609
## 104 74 219
## 105 334 263
## 106 0 54
## 107 101 213
## 108 0 0
## 109 180 71
## 110 134 173
## 111 1768 1669
## 112 0 0
## 113 0 59
## 114 177 133
## 115 905 440
## 116 0 20
## 117 0 0
## 118 0 0
## 119 0 0
## 120 0 17
## 121 0 0
## 122 0 0
## 123 0 0
## 124 0 0
## 125 51 0
## 126 0 0
## 127 56 0
## 128 42 0
## 129 18 0
## 130 0 0
## 131 0 0
## 132 0 0
## 133 0 0
## 134 31 0
## 135 0 0
## 136 0 0
## 137 0 0
## 138 0 28
## 139 65 16
## 140 0 0
## 141 0 0
## 142 0 0
## 143 0 0
## 144 0 0
## 145 0 0
## 146 0 0
## 147 0 0
## 148 0 0
## 149 0 0
## 150 0 0
## 151 0 0
## 152 0 0
## 153 17 0
## 154 0 0
## 155 0 0
## 156 0 0
## 157 0 0
## 158 0 0
## 159 0 0
## 160 0 0
## 161 42 0
## 162 0 0
## 163 0 0
## 164 0 0
## 165 0 0
## 166 0 0
## 167 0 0
## 168 0 0
## 169 0 0
## 170 73 203
## 171 0 0
## 172 0 0
## 173 0 0
## 174 0 0
## 175 0 0
## 176 0 0
## 177 0 0
## 178 0 0
## 179 0 0
## 180 0 0
## 181 0 0
## 182 0 0
## 183 0 0
## 184 0 0
## 185 0 0
## 186 0 0
## 187 0 36
## 188 0 0
## 189 0 0
## 190 0 0
## 191 0 179
## 192 52 51
## 193 95 96
## 194 0 0
## 195 0 0
## 196 75 0
## 197 51 108
## 198 0 0
## 199 18 0
## 200 94 83
## 201 73 53
## 202 0 26
## 203 0 53
## 204 31 37
## 205 0 684
## 206 20 0
## 207 54 61
## 208 39 63
## 209 0 23
## 210 0 22
## 211 0 0
## 212 0 0
## 213 0 0
## 214 0 0
## 215 84 51
## 216 0 0
## 217 8 0
## 218 66 57
## 219 0 60
## 220 0 8
## 221 0 26
## 222 0 0
## 223 0 0
## 224 0 0
## 225 140 134
## 226 0 0
## 227 8 0
## 228 0 0
## 229 32 0
## 230 32 0
## 231 0 0
## 232 0 131
## 233 40 0
## 234 42 49
## 235 0 0
## 236 0 0
## 237 0 54
## 238 37 34
## 239 0 0
## 240 11 3
## 241 0 114
## 242 52 12
## 243 0 0
## 244 63 106
## 245 0 0
## 246 0 0
## 247 34 427
## 248 0 0
## 249 31 35
## 250 0 38
## 251 0 0
## 252 0 48
## 253 0 0
## 254 20 73
## 255 174 0
## 256 0 0
## 257 13 14
## 258 20 0
## 259 0 0
## 260 0 53
## 261 0 0
## 262 25 0
## 263 0 0
## 264 0 0
## 265 0 0
## 266 0 0
## 267 0 0
## 268 0 0
## 269 0 0
## 270 0 0
## 271 0 0
## 272 0 0
## 273 196 358
## 274 88 0
## 275 0 0
## 276 31 21
## 277 0 0
## 278 0 0
## 279 0 0
## 280 0 0
## 281 0 0
## 282 0 0
## 283 0 0
## 284 0 0
## 285 0 0
## 286 0 0
## 287 0 0
## 288 0 0
## 289 0 0
## 290 0 0
## 291 0 0
## 292 18 0
## 293 0 0
## 294 0 0
## 295 0 114
## 296 103 101
## 297 0 0
## 298 0 0
## 299 0 0
## 300 0 0
## 301 0 0
## 302 0 0
## 303 89 0
## 304 0 0
## 305 0 0
## 306 0 0
## 307 0 0
## 308 13 15
## 309 0 0
## 310 0 0
## 311 0 0
## 312 0 0
## 313 0 0
## 314 0 0
## 315 0 0
## 316 0 0
## 317 0 0
## 318 0 0
## 319 0 0
## 320 0 0
## 321 0 0
## 322 0 0
## 323 0 0
## 324 24 0
## 325 0 0
## 326 0 0
## 327 0 0
## 328 0 0
## 329 0 0
## 330 9 0
## 331 0 0
## 332 0 0
## 333 0 0
## 334 0 0
## 335 0 0
## 336 0 0
## 337 0 0
## 338 0 0
## 339 0 25
## 340 0 0
## 341 0 0
## 342 0 0
## 343 27 0
## 344 0 0
## 345 0 0
## 346 0 226
## 347 0 0
## 348 0 0
## 349 0 0
## 350 0 103
## 351 95 0
## 352 0 0
## 353 0 0
## 354 0 0
## 355 0 0
## 356 0 0
## 357 0 0
## 358 0 0
## 359 0 0
## 360 0 0
## 361 0 0
## 362 0 0
## 363 0 0
## 364 28 0
## 365 0 0
## 366 0 0
## 367 0 0
## 368 0 0
## 369 0 0
## 370 0 27
## 371 0 0
## 372 0 0
## 373 0 0
## 374 0 0
## 375 0 0
## 376 0 0
## 377 0 0
## 378 0 0
## 379 0 0
## 380 0 0
## 381 0 0
## 382 0 0
## 383 0 0
## 384 0 0
## 385 0 0
## 386 0 0
## 387 0 0
## 388 0 0
## 389 0 0
## 390 0 0
## 391 0 0
## 392 0 0
## 393 0 0
## 394 0 0
## 395 0 0
## 396 0 0
## 397 0 0
## 398 0 0
## 399 0 0
## 400 0 0
## 401 0 0
## 402 0 0
## 403 0 0
## 404 24 0
## 405 0 0
## 406 0 0
## 407 0 0
## 408 0 0
## 409 0 0
## 410 0 0
## 411 0 0
## 412 0 0
## 413 0 0
## 414 64 25
## 415 0 0
## 416 0 0
## 417 0 0
## 418 0 0
## 419 0 0
## 420 0 0
## 421 0 0
## 422 0 0
## 423 0 0
## 424 0 0
## 425 0 0
## 426 0 0
## 427 0 0
## 428 0 0
## 429 0 0
## 430 0 0
## 431 0 0
## 432 0 0
## 433 0 0
## 434 0 0
## 435 0 0
## 436 0 0
## 437 0 0
## 438 0 0
## 439 0 0
## 440 0 0
## 441 0 0
## 442 0 0
## 443 0 0
## 444 0 0
## 445 0 0
## D01_D01_2_straw-16s-D01-2 D08_D08_2_straw-16s-D08-2
## 1 0 0
## 2 0 0
## 3 0 0
## 4 0 0
## 5 0 0
## 6 0 0
## 7 0 0
## 8 0 0
## 9 0 0
## 10 0 0
## 11 0 29
## 12 0 0
## 13 0 34
## 14 0 0
## 15 0 0
## 16 0 0
## 17 0 0
## 18 0 0
## 19 0 0
## 20 0 0
## 21 0 0
## 22 0 0
## 23 0 0
## 24 0 0
## 25 0 0
## 26 0 0
## 27 0 0
## 28 0 0
## 29 0 0
## 30 0 0
## 31 0 0
## 32 0 0
## 33 0 0
## 34 0 0
## 35 0 0
## 36 0 0
## 37 0 15
## 38 0 0
## 39 0 8
## 40 0 0
## 41 0 0
## 42 0 0
## 43 0 0
## 44 0 0
## 45 0 0
## 46 0 0
## 47 0 0
## 48 0 0
## 49 0 0
## 50 0 0
## 51 0 0
## 52 0 37
## 53 0 0
## 54 0 0
## 55 0 0
## 56 0 0
## 57 0 0
## 58 0 0
## 59 0 9
## 60 0 0
## 61 0 0
## 62 0 0
## 63 0 0
## 64 0 0
## 65 0 0
## 66 0 0
## 67 0 0
## 68 0 0
## 69 0 0
## 70 0 0
## 71 0 0
## 72 0 0
## 73 0 26
## 74 0 0
## 75 0 0
## 76 0 0
## 77 0 0
## 78 0 0
## 79 0 0
## 80 0 0
## 81 0 0
## 82 0 0
## 83 0 0
## 84 0 0
## 85 0 0
## 86 0 0
## 87 0 70
## 88 0 76
## 89 0 108
## 90 0 0
## 91 0 549
## 92 0 92
## 93 0 301
## 94 0 113
## 95 0 364
## 96 0 120
## 97 0 19
## 98 0 184
## 99 0 42
## 100 60 136
## 101 92 131
## 102 83 376
## 103 75 246
## 104 0 266
## 105 108 283
## 106 0 171
## 107 0 48
## 108 0 42
## 109 0 835
## 110 0 81
## 111 0 1612
## 112 0 0
## 113 0 318
## 114 0 76
## 115 0 692
## 116 0 138
## 117 0 0
## 118 0 0
## 119 0 0
## 120 0 0
## 121 0 0
## 122 0 0
## 123 0 0
## 124 0 0
## 125 0 0
## 126 0 0
## 127 0 0
## 128 0 0
## 129 0 0
## 130 0 0
## 131 0 0
## 132 0 0
## 133 0 0
## 134 0 0
## 135 0 19
## 136 0 0
## 137 0 0
## 138 0 0
## 139 0 0
## 140 0 41
## 141 0 0
## 142 0 0
## 143 0 0
## 144 0 0
## 145 0 0
## 146 0 0
## 147 0 0
## 148 0 0
## 149 0 0
## 150 0 0
## 151 0 0
## 152 0 0
## 153 0 0
## 154 0 0
## 155 0 0
## 156 0 0
## 157 0 0
## 158 0 0
## 159 0 0
## 160 0 0
## 161 0 0
## 162 0 0
## 163 0 0
## 164 0 0
## 165 0 0
## 166 0 0
## 167 0 0
## 168 0 0
## 169 0 0
## 170 0 0
## 171 0 0
## 172 0 0
## 173 0 0
## 174 0 0
## 175 0 0
## 176 0 0
## 177 0 0
## 178 0 0
## 179 0 0
## 180 0 0
## 181 0 0
## 182 0 0
## 183 0 0
## 184 0 0
## 185 0 0
## 186 0 0
## 187 0 0
## 188 0 0
## 189 0 0
## 190 0 0
## 191 0 0
## 192 659 0
## 193 0 69
## 194 0 0
## 195 0 32
## 196 0 0
## 197 0 0
## 198 0 0
## 199 0 0
## 200 0 65
## 201 0 46
## 202 0 0
## 203 0 0
## 204 0 0
## 205 0 0
## 206 0 0
## 207 0 0
## 208 0 0
## 209 0 0
## 210 0 0
## 211 0 0
## 212 0 0
## 213 0 0
## 214 0 32
## 215 0 0
## 216 0 0
## 217 0 38
## 218 0 0
## 219 0 0
## 220 0 0
## 221 0 0
## 222 0 41
## 223 0 157
## 224 0 269
## 225 295 233
## 226 0 0
## 227 0 0
## 228 0 0
## 229 263 0
## 230 289 89
## 231 0 27
## 232 0 49
## 233 0 0
## 234 0 0
## 235 0 20
## 236 0 0
## 237 0 0
## 238 0 79
## 239 0 0
## 240 0 0
## 241 0 0
## 242 0 12
## 243 0 0
## 244 0 0
## 245 0 0
## 246 0 0
## 247 0 0
## 248 0 55
## 249 0 0
## 250 0 0
## 251 0 168
## 252 0 0
## 253 0 0
## 254 0 0
## 255 0 0
## 256 0 0
## 257 0 0
## 258 0 0
## 259 0 0
## 260 0 0
## 261 0 47
## 262 0 0
## 263 0 0
## 264 0 0
## 265 0 0
## 266 0 0
## 267 0 0
## 268 0 0
## 269 0 0
## 270 45 0
## 271 0 0
## 272 0 0
## 273 348 10
## 274 91 0
## 275 0 0
## 276 0 0
## 277 0 0
## 278 0 0
## 279 0 0
## 280 0 0
## 281 0 0
## 282 0 0
## 283 0 0
## 284 0 0
## 285 57 0
## 286 0 0
## 287 1620 0
## 288 72 0
## 289 0 0
## 290 0 0
## 291 0 0
## 292 0 0
## 293 0 0
## 294 0 0
## 295 0 0
## 296 0 0
## 297 0 0
## 298 54 131
## 299 0 0
## 300 0 0
## 301 0 0
## 302 0 0
## 303 0 0
## 304 0 0
## 305 0 0
## 306 0 0
## 307 0 0
## 308 0 0
## 309 0 0
## 310 0 0
## 311 0 0
## 312 0 0
## 313 0 0
## 314 0 0
## 315 0 33
## 316 206 0
## 317 0 0
## 318 33 0
## 319 202 0
## 320 181 0
## 321 122 0
## 322 955 0
## 323 0 0
## 324 0 39
## 325 0 0
## 326 0 7
## 327 358 0
## 328 73 0
## 329 0 0
## 330 52 0
## 331 0 0
## 332 0 0
## 333 0 0
## 334 71 0
## 335 478 0
## 336 89 0
## 337 0 0
## 338 0 0
## 339 0 0
## 340 0 0
## 341 0 0
## 342 0 0
## 343 0 0
## 344 0 0
## 345 0 0
## 346 0 0
## 347 0 0
## 348 0 0
## 349 0 0
## 350 0 0
## 351 0 0
## 352 0 0
## 353 0 0
## 354 0 0
## 355 0 0
## 356 0 0
## 357 0 0
## 358 0 0
## 359 0 0
## 360 0 58
## 361 0 0
## 362 0 0
## 363 0 0
## 364 0 0
## 365 0 0
## 366 0 0
## 367 0 0
## 368 0 0
## 369 0 0
## 370 0 0
## 371 0 0
## 372 0 0
## 373 0 0
## 374 0 0
## 375 0 0
## 376 0 0
## 377 0 0
## 378 0 0
## 379 0 0
## 380 0 0
## 381 0 0
## 382 0 0
## 383 0 0
## 384 0 0
## 385 0 0
## 386 0 0
## 387 0 0
## 388 0 0
## 389 0 0
## 390 0 0
## 391 0 0
## 392 0 0
## 393 0 0
## 394 0 0
## 395 0 0
## 396 0 0
## 397 0 0
## 398 0 0
## 399 0 0
## 400 0 0
## 401 0 0
## 402 0 0
## 403 0 0
## 404 0 0
## 405 0 0
## 406 0 0
## 407 0 0
## 408 0 0
## 409 0 87
## 410 0 0
## 411 0 0
## 412 0 0
## 413 0 0
## 414 0 0
## 415 0 0
## 416 0 0
## 417 0 0
## 418 0 0
## 419 0 0
## 420 0 0
## 421 0 0
## 422 0 0
## 423 0 0
## 424 0 137
## 425 0 0
## 426 0 0
## 427 0 0
## 428 0 0
## 429 0 0
## 430 0 0
## 431 0 0
## 432 0 0
## 433 0 0
## 434 0 0
## 435 0 0
## 436 0 0
## 437 0 0
## 438 0 0
## 439 0 0
## 440 0 0
## 441 0 0
## 442 0 0
## 443 0 0
## 444 0 0
## 445 0 0
## D13_D13_2_straw-16s-D13-2 D12_D12_1_straw-16s-D12-1
## 1 0 0
## 2 291 1134
## 3 198 89
## 4 28 35
## 5 19 0
## 6 0 76
## 7 34 33
## 8 0 65
## 9 0 113
## 10 64 106
## 11 45 145
## 12 79 0
## 13 229 556
## 14 61 0
## 15 33 0
## 16 56 79
## 17 363 350
## 18 413 489
## 19 134 0
## 20 0 133
## 21 139 0
## 22 409 203
## 23 304 453
## 24 150 130
## 25 0 36
## 26 25 79
## 27 98 13
## 28 14 209
## 29 0 0
## 30 43 194
## 31 0 105
## 32 385 376
## 33 0 0
## 34 137 29
## 35 0 38
## 36 0 0
## 37 135 189
## 38 0 0
## 39 33 84
## 40 141 15
## 41 0 97
## 42 92 284
## 43 150 417
## 44 0 0
## 45 0 71
## 46 26 28
## 47 0 441
## 48 21 0
## 49 35 48
## 50 0 53
## 51 81 84
## 52 59 23
## 53 30 16
## 54 0 0
## 55 8 40
## 56 0 67
## 57 0 44
## 58 37 26
## 59 12 47
## 60 0 29
## 61 18 96
## 62 59 115
## 63 0 0
## 64 42 93
## 65 49 30
## 66 0 98
## 67 768 1408
## 68 0 160
## 69 0 71
## 70 1135 622
## 71 76 435
## 72 0 0
## 73 53 0
## 74 0 27
## 75 0 71
## 76 0 0
## 77 35 100
## 78 0 38
## 79 34 55
## 80 48 27
## 81 124 158
## 82 156 251
## 83 48 139
## 84 268 0
## 85 32 0
## 86 25 22
## 87 22 153
## 88 0 0
## 89 143 69
## 90 0 0
## 91 278 447
## 92 78 126
## 93 186 323
## 94 371 153
## 95 323 635
## 96 109 258
## 97 0 0
## 98 134 101
## 99 41 174
## 100 0 190
## 101 91 502
## 102 449 1048
## 103 531 397
## 104 362 622
## 105 212 420
## 106 165 331
## 107 250 53
## 108 0 31
## 109 85 1095
## 110 48 438
## 111 1556 1133
## 112 0 0
## 113 30 26
## 114 29 48
## 115 383 188
## 116 0 0
## 117 0 76
## 118 12 59
## 119 0 71
## 120 0 57
## 121 0 18
## 122 30 0
## 123 0 44
## 124 36 37
## 125 0 104
## 126 0 318
## 127 0 17
## 128 0 24
## 129 0 34
## 130 0 43
## 131 0 0
## 132 0 0
## 133 0 107
## 134 33 48
## 135 0 118
## 136 0 24
## 137 0 18
## 138 36 0
## 139 0 35
## 140 0 42
## 141 0 111
## 142 153 46
## 143 20 34
## 144 0 101
## 145 26 23
## 146 0 41
## 147 0 106
## 148 0 27
## 149 0 12
## 150 74 139
## 151 0 0
## 152 0 0
## 153 27 34
## 154 0 42
## 155 4 15
## 156 0 35
## 157 0 69
## 158 0 77
## 159 47 196
## 160 24 66
## 161 0 0
## 162 62 41
## 163 71 24
## 164 0 0
## 165 0 0
## 166 78 0
## 167 304 188
## 168 0 0
## 169 123 92
## 170 205 275
## 171 85 55
## 172 33 47
## 173 98 0
## 174 21 0
## 175 103 120
## 176 87 138
## 177 45 0
## 178 23 14
## 179 0 0
## 180 67 0
## 181 30 28
## 182 86 253
## 183 32 47
## 184 33 25
## 185 14 20
## 186 0 0
## 187 82 0
## 188 21 25
## 189 13 32
## 190 85 32
## 191 0 0
## 192 52 64
## 193 33 0
## 194 0 14
## 195 88 0
## 196 0 0
## 197 0 28
## 198 0 0
## 199 0 92
## 200 0 51
## 201 48 166
## 202 0 15
## 203 0 0
## 204 0 75
## 205 237 0
## 206 0 0
## 207 0 49
## 208 16 139
## 209 0 54
## 210 0 0
## 211 0 0
## 212 0 100
## 213 0 0
## 214 0 187
## 215 0 36
## 216 0 0
## 217 18 14
## 218 0 0
## 219 0 73
## 220 14 0
## 221 0 0
## 222 0 155
## 223 0 273
## 224 401 367
## 225 0 310
## 226 0 0
## 227 27 34
## 228 0 18
## 229 0 0
## 230 107 207
## 231 80 96
## 232 31 57
## 233 0 0
## 234 57 0
## 235 0 0
## 236 0 51
## 237 0 0
## 238 0 26
## 239 0 0
## 240 0 0
## 241 91 0
## 242 0 109
## 243 65 0
## 244 0 117
## 245 0 0
## 246 16 0
## 247 0 97
## 248 33 0
## 249 0 50
## 250 34 69
## 251 0 0
## 252 0 64
## 253 0 0
## 254 0 0
## 255 0 0
## 256 0 0
## 257 0 0
## 258 0 0
## 259 0 0
## 260 0 0
## 261 0 0
## 262 171 0
## 263 0 0
## 264 13 0
## 265 0 25
## 266 0 0
## 267 0 0
## 268 0 0
## 269 0 0
## 270 0 0
## 271 0 0
## 272 0 0
## 273 35 395
## 274 0 179
## 275 0 0
## 276 0 120
## 277 0 0
## 278 0 0
## 279 0 0
## 280 0 64
## 281 0 0
## 282 0 0
## 283 0 56
## 284 0 0
## 285 0 0
## 286 0 0
## 287 0 0
## 288 0 0
## 289 0 0
## 290 0 0
## 291 0 0
## 292 0 0
## 293 0 0
## 294 0 27
## 295 0 0
## 296 0 0
## 297 0 0
## 298 0 0
## 299 0 0
## 300 0 0
## 301 0 0
## 302 0 0
## 303 0 13
## 304 0 0
## 305 0 0
## 306 0 0
## 307 0 0
## 308 0 0
## 309 0 0
## 310 0 0
## 311 0 0
## 312 0 0
## 313 0 0
## 314 0 0
## 315 0 40
## 316 0 0
## 317 0 0
## 318 0 0
## 319 0 37
## 320 0 17
## 321 0 0
## 322 0 0
## 323 0 0
## 324 0 0
## 325 0 0
## 326 0 0
## 327 0 0
## 328 0 0
## 329 0 0
## 330 0 60
## 331 0 0
## 332 0 0
## 333 0 0
## 334 0 0
## 335 0 0
## 336 0 0
## 337 0 0
## 338 0 0
## 339 0 81
## 340 0 0
## 341 0 120
## 342 0 0
## 343 0 66
## 344 0 0
## 345 0 0
## 346 0 0
## 347 0 67
## 348 0 0
## 349 0 0
## 350 0 0
## 351 0 0
## 352 0 24
## 353 0 0
## 354 0 0
## 355 0 0
## 356 0 0
## 357 0 0
## 358 0 0
## 359 0 0
## 360 0 0
## 361 0 0
## 362 0 0
## 363 0 70
## 364 0 0
## 365 0 0
## 366 0 0
## 367 0 0
## 368 29 0
## 369 0 0
## 370 0 57
## 371 0 0
## 372 0 101
## 373 0 0
## 374 0 0
## 375 0 36
## 376 0 0
## 377 0 8
## 378 0 0
## 379 0 0
## 380 27 0
## 381 0 112
## 382 0 0
## 383 0 0
## 384 0 84
## 385 0 107
## 386 0 0
## 387 0 0
## 388 0 0
## 389 0 29
## 390 0 0
## 391 0 0
## 392 0 0
## 393 0 0
## 394 0 0
## 395 0 0
## 396 0 111
## 397 46 38
## 398 56 0
## 399 0 55
## 400 0 0
## 401 0 0
## 402 0 0
## 403 0 0
## 404 0 0
## 405 0 104
## 406 0 15
## 407 0 156
## 408 0 66
## 409 0 0
## 410 0 0
## 411 0 0
## 412 0 0
## 413 19 0
## 414 0 0
## 415 29 0
## 416 0 23
## 417 17 0
## 418 0 198
## 419 80 58
## 420 0 0
## 421 0 0
## 422 0 0
## 423 0 124
## 424 0 0
## 425 0 0
## 426 0 0
## 427 0 0
## 428 0 46
## 429 0 76
## 430 0 114
## 431 0 28
## 432 0 0
## 433 0 0
## 434 0 0
## 435 0 0
## 436 0 0
## 437 0 0
## 438 0 0
## 439 0 0
## 440 0 0
## 441 0 0
## 442 0 0
## 443 0 0
## 444 0 0
## 445 0 0
## D10_D10_4_straw-16s-D10-4 D07_D07_2_straw-16s-D07-2
## 1 25 0
## 2 67 0
## 3 173 0
## 4 0 0
## 5 0 0
## 6 278 0
## 7 29 0
## 8 0 0
## 9 0 0
## 10 0 0
## 11 18 0
## 12 53 0
## 13 0 0
## 14 0 0
## 15 0 0
## 16 0 0
## 17 0 0
## 18 93 50
## 19 0 0
## 20 10 0
## 21 0 0
## 22 0 0
## 23 19 0
## 24 43 0
## 25 0 0
## 26 18 0
## 27 477 0
## 28 0 9
## 29 0 0
## 30 25 0
## 31 0 0
## 32 77 0
## 33 0 0
## 34 0 0
## 35 0 0
## 36 37 0
## 37 0 0
## 38 174 12
## 39 43 0
## 40 198 0
## 41 0 0
## 42 0 0
## 43 0 0
## 44 0 0
## 45 0 0
## 46 0 0
## 47 0 0
## 48 20 0
## 49 0 0
## 50 0 0
## 51 0 0
## 52 49 45
## 53 0 0
## 54 0 0
## 55 0 0
## 56 0 0
## 57 0 0
## 58 0 0
## 59 0 0
## 60 27 0
## 61 0 0
## 62 0 0
## 63 0 0
## 64 0 0
## 65 0 0
## 66 0 0
## 67 0 0
## 68 0 0
## 69 0 0
## 70 25 0
## 71 0 0
## 72 0 0
## 73 16 0
## 74 0 0
## 75 9 0
## 76 0 0
## 77 0 0
## 78 16 15
## 79 0 0
## 80 0 0
## 81 121 26
## 82 0 0
## 83 0 0
## 84 44 0
## 85 0 0
## 86 0 0
## 87 0 194
## 88 0 176
## 89 698 798
## 90 0 0
## 91 215 428
## 92 190 0
## 93 89 602
## 94 97 150
## 95 175 519
## 96 16 29
## 97 0 47
## 98 195 254
## 99 92 63
## 100 115 89
## 101 85 100
## 102 449 731
## 103 121 415
## 104 67 123
## 105 329 485
## 106 0 68
## 107 614 48
## 108 0 52
## 109 568 324
## 110 0 1285
## 111 1333 327
## 112 48 0
## 113 168 88
## 114 138 205
## 115 384 478
## 116 417 48
## 117 0 0
## 118 0 0
## 119 0 0
## 120 0 0
## 121 0 0
## 122 0 0
## 123 0 0
## 124 0 0
## 125 0 0
## 126 0 0
## 127 0 0
## 128 0 0
## 129 0 0
## 130 0 0
## 131 18 0
## 132 0 0
## 133 0 0
## 134 0 21
## 135 0 0
## 136 0 0
## 137 0 0
## 138 0 0
## 139 0 0
## 140 0 0
## 141 0 0
## 142 0 0
## 143 0 0
## 144 0 0
## 145 0 0
## 146 0 0
## 147 0 0
## 148 0 0
## 149 7 0
## 150 0 0
## 151 0 0
## 152 0 0
## 153 0 0
## 154 0 0
## 155 0 0
## 156 0 0
## 157 0 0
## 158 0 0
## 159 0 0
## 160 0 0
## 161 0 0
## 162 0 0
## 163 0 0
## 164 0 0
## 165 0 0
## 166 0 0
## 167 0 0
## 168 0 0
## 169 0 0
## 170 0 0
## 171 0 0
## 172 0 0
## 173 0 0
## 174 0 0
## 175 0 0
## 176 0 0
## 177 0 0
## 178 0 0
## 179 0 0
## 180 0 0
## 181 0 0
## 182 0 0
## 183 0 0
## 184 0 0
## 185 0 0
## 186 0 0
## 187 0 0
## 188 0 0
## 189 0 0
## 190 0 0
## 191 20 0
## 192 36 0
## 193 0 0
## 194 0 0
## 195 0 0
## 196 0 0
## 197 0 0
## 198 0 0
## 199 118 105
## 200 71 172
## 201 0 58
## 202 35 0
## 203 0 0
## 204 0 46
## 205 189 0
## 206 0 0
## 207 0 0
## 208 95 0
## 209 72 0
## 210 0 0
## 211 56 0
## 212 0 0
## 213 0 0
## 214 0 32
## 215 0 46
## 216 30 0
## 217 0 0
## 218 0 0
## 219 0 0
## 220 27 0
## 221 0 0
## 222 0 0
## 223 0 0
## 224 0 0
## 225 164 237
## 226 0 0
## 227 0 0
## 228 0 0
## 229 53 0
## 230 0 0
## 231 0 76
## 232 213 200
## 233 0 0
## 234 137 0
## 235 11 0
## 236 0 20
## 237 80 0
## 238 92 44
## 239 80 0
## 240 35 0
## 241 0 0
## 242 0 0
## 243 0 0
## 244 130 0
## 245 240 0
## 246 15 0
## 247 69 0
## 248 100 0
## 249 22 0
## 250 45 0
## 251 27 56
## 252 74 0
## 253 0 0
## 254 35 0
## 255 0 0
## 256 0 0
## 257 12 0
## 258 0 0
## 259 0 0
## 260 0 0
## 261 0 0
## 262 0 0
## 263 0 0
## 264 0 0
## 265 0 0
## 266 0 0
## 267 0 0
## 268 0 0
## 269 0 0
## 270 0 0
## 271 0 0
## 272 0 0
## 273 261 127
## 274 27 106
## 275 38 0
## 276 0 0
## 277 0 0
## 278 0 0
## 279 44 0
## 280 0 0
## 281 0 0
## 282 0 0
## 283 0 0
## 284 0 0
## 285 0 0
## 286 0 0
## 287 0 0
## 288 0 0
## 289 0 0
## 290 0 0
## 291 0 0
## 292 0 0
## 293 34 0
## 294 0 0
## 295 0 0
## 296 161 0
## 297 0 0
## 298 41 136
## 299 0 0
## 300 0 0
## 301 13 0
## 302 126 0
## 303 29 0
## 304 0 0
## 305 0 0
## 306 0 0
## 307 0 0
## 308 0 11
## 309 0 0
## 310 0 0
## 311 0 0
## 312 0 0
## 313 0 0
## 314 0 0
## 315 210 216
## 316 0 0
## 317 0 51
## 318 0 0
## 319 0 0
## 320 58 71
## 321 0 0
## 322 0 0
## 323 0 0
## 324 0 0
## 325 0 0
## 326 0 0
## 327 0 0
## 328 0 0
## 329 0 0
## 330 0 22
## 331 0 0
## 332 0 0
## 333 0 0
## 334 0 53
## 335 0 0
## 336 0 0
## 337 0 0
## 338 0 0
## 339 0 0
## 340 0 0
## 341 0 0
## 342 0 0
## 343 0 0
## 344 0 0
## 345 0 0
## 346 0 0
## 347 0 0
## 348 0 0
## 349 48 0
## 350 0 0
## 351 0 0
## 352 0 0
## 353 0 0
## 354 0 0
## 355 0 0
## 356 0 0
## 357 0 0
## 358 0 0
## 359 0 35
## 360 0 110
## 361 0 0
## 362 0 0
## 363 0 0
## 364 83 0
## 365 0 0
## 366 0 0
## 367 0 0
## 368 0 0
## 369 0 0
## 370 0 0
## 371 101 0
## 372 0 0
## 373 0 0
## 374 0 0
## 375 0 6
## 376 0 0
## 377 0 0
## 378 0 0
## 379 0 0
## 380 0 0
## 381 0 0
## 382 0 0
## 383 0 0
## 384 0 0
## 385 0 0
## 386 0 0
## 387 0 0
## 388 0 0
## 389 60 0
## 390 0 0
## 391 0 0
## 392 0 0
## 393 0 0
## 394 0 6
## 395 0 0
## 396 0 0
## 397 0 0
## 398 0 0
## 399 0 0
## 400 0 0
## 401 0 0
## 402 0 0
## 403 0 0
## 404 0 0
## 405 0 0
## 406 0 0
## 407 0 0
## 408 0 0
## 409 0 0
## 410 0 375
## 411 0 0
## 412 0 0
## 413 0 0
## 414 0 0
## 415 0 0
## 416 0 0
## 417 0 0
## 418 0 0
## 419 0 0
## 420 0 0
## 421 0 0
## 422 0 0
## 423 0 0
## 424 0 0
## 425 0 0
## 426 0 0
## 427 0 0
## 428 0 0
## 429 0 0
## 430 0 0
## 431 0 0
## 432 0 0
## 433 0 0
## 434 0 0
## 435 0 0
## 436 0 0
## 437 0 0
## 438 0 0
## 439 0 0
## 440 0 0
## 441 0 0
## 442 0 0
## 443 0 0
## 444 0 0
## 445 0 0
## D12_D12_3_straw-16s-D12-3 D15_D15_2_straw-16s-D15-2
## 1 0 0
## 2 30 366
## 3 0 98
## 4 39 54
## 5 42 0
## 6 180 0
## 7 107 32
## 8 27 0
## 9 37 0
## 10 43 120
## 11 56 47
## 12 105 99
## 13 145 291
## 14 0 37
## 15 92 0
## 16 42 64
## 17 49 231
## 18 238 408
## 19 0 72
## 20 0 0
## 21 0 0
## 22 61 124
## 23 115 276
## 24 64 65
## 25 0 0
## 26 0 41
## 27 0 36
## 28 16 7
## 29 0 0
## 30 0 69
## 31 44 0
## 32 135 267
## 33 0 0
## 34 165 157
## 35 0 0
## 36 0 0
## 37 0 59
## 38 0 113
## 39 38 35
## 40 123 0
## 41 0 0
## 42 30 43
## 43 0 44
## 44 0 391
## 45 0 7
## 46 0 22
## 47 0 0
## 48 18 21
## 49 0 35
## 50 0 16
## 51 0 78
## 52 37 55
## 53 0 0
## 54 0 0
## 55 0 11
## 56 37 0
## 57 0 0
## 58 45 21
## 59 0 0
## 60 63 0
## 61 0 30
## 62 0 0
## 63 0 94
## 64 27 27
## 65 0 0
## 66 0 0
## 67 322 1167
## 68 0 0
## 69 0 23
## 70 92 1208
## 71 29 98
## 72 37 0
## 73 105 27
## 74 0 0
## 75 26 0
## 76 373 22
## 77 0 20
## 78 67 55
## 79 0 0
## 80 25 0
## 81 81 113
## 82 0 131
## 83 0 90
## 84 0 151
## 85 21 23
## 86 0 29
## 87 0 210
## 88 133 0
## 89 350 145
## 90 49 0
## 91 206 429
## 92 130 159
## 93 212 156
## 94 68 239
## 95 213 149
## 96 184 0
## 97 0 22
## 98 0 163
## 99 152 21
## 100 138 99
## 101 122 278
## 102 106 402
## 103 247 255
## 104 269 347
## 105 95 175
## 106 336 201
## 107 893 244
## 108 0 17
## 109 714 141
## 110 1262 153
## 111 762 1105
## 112 115 0
## 113 0 0
## 114 85 0
## 115 0 117
## 116 692 71
## 117 0 0
## 118 0 47
## 119 0 0
## 120 0 0
## 121 0 0
## 122 0 0
## 123 0 24
## 124 0 0
## 125 0 0
## 126 0 115
## 127 18 0
## 128 0 0
## 129 0 0
## 130 0 0
## 131 0 23
## 132 0 37
## 133 0 35
## 134 0 0
## 135 0 0
## 136 0 0
## 137 0 76
## 138 0 0
## 139 0 10
## 140 0 0
## 141 0 0
## 142 0 0
## 143 0 0
## 144 0 0
## 145 0 80
## 146 0 15
## 147 0 0
## 148 0 0
## 149 0 24
## 150 15 50
## 151 0 85
## 152 0 108
## 153 0 24
## 154 0 0
## 155 0 14
## 156 0 46
## 157 0 125
## 158 0 0
## 159 0 36
## 160 0 0
## 161 0 360
## 162 0 72
## 163 0 87
## 164 0 0
## 165 0 69
## 166 0 69
## 167 0 225
## 168 92 34
## 169 0 75
## 170 0 513
## 171 0 55
## 172 0 277
## 173 0 174
## 174 0 0
## 175 0 0
## 176 0 79
## 177 0 12
## 178 0 15
## 179 0 58
## 180 0 31
## 181 0 53
## 182 20 131
## 183 0 41
## 184 0 0
## 185 0 16
## 186 0 170
## 187 0 26
## 188 0 26
## 189 0 20
## 190 0 0
## 191 0 0
## 192 0 0
## 193 0 0
## 194 0 0
## 195 0 0
## 196 0 0
## 197 0 0
## 198 0 0
## 199 59 0
## 200 118 0
## 201 0 0
## 202 0 0
## 203 0 0
## 204 66 0
## 205 0 0
## 206 49 0
## 207 0 0
## 208 28 0
## 209 0 0
## 210 0 0
## 211 0 0
## 212 72 36
## 213 0 0
## 214 61 0
## 215 0 0
## 216 0 0
## 217 52 0
## 218 0 0
## 219 115 0
## 220 0 27
## 221 0 23
## 222 0 0
## 223 126 0
## 224 0 140
## 225 242 142
## 226 0 0
## 227 0 21
## 228 0 0
## 229 0 0
## 230 159 134
## 231 70 76
## 232 44 0
## 233 0 27
## 234 0 45
## 235 0 0
## 236 0 0
## 237 0 0
## 238 43 0
## 239 134 0
## 240 32 0
## 241 0 0
## 242 0 0
## 243 0 0
## 244 0 0
## 245 0 0
## 246 26 0
## 247 66 0
## 248 64 30
## 249 23 0
## 250 0 0
## 251 0 0
## 252 100 0
## 253 63 0
## 254 0 0
## 255 0 0
## 256 0 0
## 257 0 0
## 258 32 0
## 259 46 109
## 260 54 0
## 261 0 0
## 262 0 0
## 263 0 0
## 264 0 23
## 265 0 0
## 266 0 0
## 267 0 0
## 268 0 0
## 269 0 0
## 270 0 0
## 271 0 0
## 272 0 0
## 273 55 48
## 274 0 10
## 275 0 0
## 276 13 0
## 277 0 0
## 278 0 0
## 279 0 0
## 280 44 0
## 281 0 0
## 282 0 0
## 283 0 0
## 284 0 0
## 285 0 0
## 286 0 0
## 287 0 0
## 288 0 0
## 289 0 0
## 290 0 0
## 291 0 0
## 292 0 0
## 293 0 0
## 294 0 0
## 295 0 0
## 296 0 0
## 297 0 0
## 298 0 0
## 299 0 0
## 300 0 0
## 301 0 0
## 302 0 0
## 303 0 0
## 304 0 0
## 305 0 0
## 306 0 0
## 307 0 0
## 308 0 0
## 309 0 0
## 310 0 0
## 311 0 0
## 312 0 0
## 313 0 0
## 314 0 0
## 315 59 0
## 316 0 0
## 317 0 0
## 318 0 0
## 319 0 0
## 320 0 0
## 321 0 0
## 322 0 0
## 323 0 0
## 324 0 0
## 325 0 0
## 326 0 0
## 327 0 0
## 328 0 0
## 329 0 0
## 330 0 0
## 331 0 0
## 332 0 0
## 333 0 0
## 334 0 0
## 335 0 0
## 336 0 0
## 337 0 0
## 338 0 0
## 339 0 0
## 340 0 0
## 341 0 0
## 342 0 0
## 343 0 0
## 344 0 0
## 345 0 0
## 346 0 0
## 347 0 0
## 348 0 0
## 349 0 0
## 350 0 0
## 351 0 0
## 352 0 0
## 353 0 47
## 354 0 0
## 355 0 0
## 356 0 0
## 357 0 0
## 358 0 0
## 359 0 0
## 360 0 0
## 361 102 0
## 362 0 0
## 363 0 0
## 364 0 0
## 365 0 0
## 366 0 0
## 367 0 0
## 368 0 0
## 369 0 0
## 370 0 0
## 371 0 0
## 372 0 0
## 373 0 0
## 374 0 0
## 375 0 0
## 376 0 0
## 377 0 0
## 378 0 0
## 379 0 0
## 380 0 24
## 381 0 0
## 382 0 0
## 383 0 0
## 384 0 0
## 385 0 0
## 386 0 65
## 387 0 0
## 388 0 0
## 389 0 0
## 390 86 0
## 391 0 0
## 392 0 0
## 393 0 0
## 394 0 0
## 395 0 0
## 396 0 0
## 397 0 0
## 398 0 0
## 399 0 82
## 400 0 0
## 401 0 0
## 402 0 0
## 403 0 0
## 404 0 0
## 405 0 0
## 406 0 0
## 407 0 0
## 408 0 0
## 409 0 0
## 410 0 0
## 411 0 53
## 412 0 0
## 413 0 6
## 414 0 0
## 415 0 0
## 416 0 0
## 417 0 0
## 418 0 30
## 419 0 0
## 420 0 73
## 421 0 0
## 422 0 0
## 423 0 21
## 424 0 0
## 425 0 0
## 426 0 0
## 427 0 0
## 428 0 0
## 429 0 0
## 430 0 0
## 431 0 0
## 432 0 0
## 433 0 0
## 434 0 0
## 435 0 0
## 436 37 0
## 437 0 72
## 438 0 98
## 439 0 0
## 440 0 0
## 441 0 0
## 442 0 0
## 443 0 0
## 444 0 0
## 445 0 0
## D14_D14_2_straw-16s-D14-2 D12_D12_2_straw-16s-D12-2
## 1 0 0
## 2 325 75
## 3 94 131
## 4 57 46
## 5 0 0
## 6 0 0
## 7 0 38
## 8 0 0
## 9 0 351
## 10 0 51
## 11 114 88
## 12 0 0
## 13 325 274
## 14 26 0
## 15 0 0
## 16 75 57
## 17 310 51
## 18 245 253
## 19 0 44
## 20 35 0
## 21 0 0
## 22 360 66
## 23 162 764
## 24 31 136
## 25 19 24
## 26 24 48
## 27 26 85
## 28 18 0
## 29 0 0
## 30 0 0
## 31 0 22
## 32 328 227
## 33 0 0
## 34 55 0
## 35 0 0
## 36 0 0
## 37 206 73
## 38 24 32
## 39 0 15
## 40 92 53
## 41 0 0
## 42 0 67
## 43 76 68
## 44 0 87
## 45 0 0
## 46 0 0
## 47 0 0
## 48 19 0
## 49 0 0
## 50 0 0
## 51 154 37
## 52 0 92
## 53 32 49
## 54 0 0
## 55 12 21
## 56 0 0
## 57 18 0
## 58 20 0
## 59 0 0
## 60 0 0
## 61 74 11
## 62 0 0
## 63 0 62
## 64 0 36
## 65 15 34
## 66 0 0
## 67 800 392
## 68 0 29
## 69 0 22
## 70 1114 1092
## 71 44 0
## 72 0 0
## 73 44 76
## 74 0 0
## 75 0 0
## 76 0 0
## 77 0 0
## 78 21 0
## 79 0 0
## 80 0 33
## 81 151 122
## 82 87 0
## 83 23 0
## 84 165 264
## 85 25 0
## 86 0 0
## 87 43 21
## 88 0 0
## 89 104 216
## 90 0 0
## 91 410 561
## 92 110 132
## 93 81 204
## 94 431 250
## 95 190 462
## 96 58 109
## 97 0 0
## 98 147 0
## 99 24 52
## 100 0 147
## 101 90 462
## 102 626 128
## 103 622 180
## 104 364 250
## 105 277 158
## 106 202 154
## 107 238 392
## 108 40 0
## 109 207 128
## 110 84 411
## 111 464 969
## 112 0 38
## 113 0 228
## 114 11 53
## 115 88 146
## 116 0 217
## 117 0 0
## 118 13 0
## 119 0 0
## 120 0 0
## 121 12 0
## 122 0 0
## 123 0 25
## 124 0 0
## 125 0 0
## 126 0 34
## 127 0 0
## 128 0 29
## 129 0 0
## 130 0 0
## 131 29 0
## 132 0 0
## 133 0 36
## 134 45 0
## 135 0 0
## 136 0 0
## 137 38 0
## 138 0 0
## 139 0 0
## 140 51 0
## 141 0 0
## 142 121 0
## 143 35 11
## 144 12 12
## 145 0 0
## 146 0 39
## 147 98 0
## 148 22 0
## 149 11 9
## 150 60 26
## 151 54 0
## 152 106 0
## 153 14 0
## 154 25 0
## 155 0 9
## 156 21 0
## 157 0 71
## 158 19 0
## 159 42 0
## 160 0 0
## 161 26 195
## 162 89 45
## 163 22 0
## 164 57 94
## 165 65 0
## 166 50 76
## 167 291 0
## 168 77 62
## 169 140 136
## 170 508 637
## 171 75 26
## 172 365 122
## 173 103 0
## 174 105 52
## 175 0 81
## 176 47 107
## 177 19 19
## 178 10 7
## 179 50 0
## 180 0 80
## 181 87 0
## 182 134 48
## 183 39 12
## 184 30 27
## 185 11 0
## 186 563 111
## 187 14 0
## 188 0 0
## 189 11 0
## 190 46 125
## 191 0 0
## 192 0 0
## 193 0 17
## 194 0 0
## 195 71 0
## 196 0 0
## 197 0 0
## 198 0 0
## 199 0 20
## 200 0 0
## 201 0 0
## 202 0 0
## 203 0 0
## 204 0 0
## 205 0 0
## 206 41 0
## 207 0 0
## 208 58 0
## 209 0 0
## 210 0 0
## 211 0 0
## 212 51 0
## 213 0 0
## 214 67 68
## 215 0 0
## 216 0 0
## 217 0 0
## 218 0 0
## 219 0 55
## 220 9 0
## 221 0 0
## 222 55 0
## 223 162 360
## 224 165 300
## 225 169 243
## 226 0 0
## 227 29 0
## 228 18 0
## 229 0 0
## 230 98 128
## 231 56 112
## 232 0 0
## 233 0 0
## 234 0 0
## 235 20 0
## 236 0 0
## 237 0 0
## 238 0 0
## 239 0 66
## 240 0 0
## 241 35 0
## 242 0 0
## 243 0 0
## 244 0 26
## 245 0 0
## 246 0 0
## 247 0 0
## 248 0 96
## 249 0 0
## 250 0 50
## 251 0 0
## 252 0 57
## 253 0 0
## 254 0 0
## 255 0 0
## 256 0 0
## 257 0 0
## 258 0 0
## 259 0 0
## 260 0 73
## 261 0 0
## 262 0 106
## 263 0 0
## 264 0 0
## 265 0 0
## 266 0 0
## 267 0 0
## 268 0 0
## 269 0 0
## 270 0 0
## 271 0 0
## 272 0 0
## 273 0 0
## 274 17 13
## 275 0 0
## 276 0 0
## 277 0 0
## 278 0 0
## 279 0 0
## 280 0 0
## 281 0 0
## 282 0 0
## 283 0 0
## 284 0 0
## 285 0 0
## 286 0 0
## 287 0 0
## 288 0 0
## 289 0 0
## 290 0 0
## 291 0 0
## 292 0 0
## 293 0 16
## 294 0 0
## 295 0 0
## 296 0 0
## 297 0 0
## 298 0 0
## 299 0 0
## 300 0 0
## 301 0 0
## 302 0 0
## 303 0 0
## 304 0 0
## 305 0 0
## 306 0 0
## 307 0 0
## 308 0 0
## 309 0 0
## 310 0 0
## 311 0 0
## 312 0 0
## 313 0 0
## 314 0 0
## 315 19 0
## 316 0 0
## 317 0 0
## 318 0 0
## 319 0 0
## 320 0 0
## 321 0 0
## 322 0 0
## 323 0 0
## 324 0 0
## 325 0 0
## 326 0 0
## 327 0 0
## 328 0 0
## 329 0 0
## 330 0 0
## 331 0 0
## 332 0 0
## 333 0 0
## 334 0 0
## 335 0 0
## 336 0 0
## 337 0 0
## 338 0 0
## 339 0 0
## 340 0 0
## 341 0 0
## 342 0 0
## 343 0 0
## 344 0 0
## 345 0 0
## 346 0 0
## 347 0 0
## 348 0 0
## 349 0 0
## 350 0 0
## 351 0 0
## 352 0 0
## 353 127 0
## 354 0 0
## 355 0 0
## 356 0 0
## 357 0 0
## 358 0 0
## 359 0 0
## 360 0 59
## 361 0 0
## 362 0 0
## 363 0 0
## 364 0 0
## 365 0 0
## 366 0 0
## 367 0 0
## 368 0 55
## 369 86 0
## 370 0 0
## 371 0 0
## 372 0 0
## 373 0 0
## 374 0 0
## 375 0 0
## 376 0 0
## 377 0 0
## 378 0 0
## 379 0 0
## 380 0 0
## 381 0 201
## 382 0 0
## 383 0 0
## 384 0 0
## 385 0 0
## 386 44 0
## 387 0 0
## 388 0 0
## 389 0 0
## 390 0 0
## 391 0 0
## 392 0 0
## 393 0 0
## 394 0 0
## 395 0 0
## 396 0 0
## 397 0 0
## 398 0 52
## 399 68 0
## 400 0 0
## 401 0 0
## 402 0 0
## 403 0 0
## 404 0 0
## 405 0 0
## 406 0 0
## 407 0 0
## 408 0 0
## 409 0 0
## 410 0 0
## 411 44 0
## 412 0 0
## 413 55 31
## 414 6 0
## 415 0 0
## 416 0 0
## 417 0 0
## 418 0 0
## 419 0 0
## 420 0 0
## 421 0 0
## 422 0 0
## 423 37 0
## 424 0 0
## 425 0 0
## 426 0 0
## 427 0 0
## 428 0 0
## 429 0 10
## 430 0 0
## 431 0 0
## 432 0 0
## 433 0 0
## 434 0 0
## 435 0 0
## 436 0 0
## 437 60 0
## 438 0 0
## 439 0 0
## 440 0 0
## 441 0 0
## 442 0 0
## 443 0 0
## 444 0 0
## 445 0 0
## D01_D01_3_straw-16s-D01-3 D05_D05_1_straw-16s-D05-1
## 1 0 0
## 2 0 0
## 3 0 0
## 4 0 0
## 5 0 0
## 6 0 0
## 7 0 12
## 8 0 0
## 9 0 0
## 10 0 0
## 11 0 0
## 12 0 0
## 13 0 23
## 14 0 0
## 15 0 0
## 16 0 0
## 17 0 0
## 18 0 16
## 19 0 0
## 20 0 0
## 21 0 0
## 22 0 0
## 23 0 0
## 24 0 0
## 25 0 0
## 26 0 0
## 27 0 0
## 28 0 0
## 29 0 0
## 30 0 0
## 31 0 0
## 32 0 0
## 33 0 0
## 34 0 0
## 35 0 0
## 36 0 0
## 37 0 0
## 38 0 0
## 39 0 0
## 40 0 0
## 41 0 0
## 42 0 0
## 43 0 0
## 44 0 0
## 45 0 0
## 46 0 0
## 47 0 0
## 48 0 0
## 49 0 0
## 50 0 0
## 51 0 0
## 52 0 0
## 53 0 0
## 54 0 0
## 55 0 0
## 56 0 0
## 57 0 0
## 58 0 0
## 59 0 0
## 60 0 0
## 61 0 0
## 62 0 0
## 63 0 0
## 64 0 0
## 65 0 0
## 66 0 0
## 67 0 0
## 68 0 0
## 69 0 0
## 70 0 0
## 71 0 0
## 72 0 0
## 73 0 0
## 74 0 0
## 75 0 0
## 76 0 0
## 77 0 0
## 78 0 0
## 79 0 0
## 80 0 0
## 81 0 0
## 82 0 0
## 83 0 0
## 84 0 0
## 85 0 0
## 86 0 0
## 87 0 87
## 88 0 0
## 89 0 419
## 90 0 0
## 91 0 71
## 92 0 0
## 93 0 101
## 94 0 0
## 95 0 940
## 96 0 154
## 97 0 0
## 98 0 116
## 99 0 0
## 100 0 0
## 101 42 35
## 102 37 253
## 103 0 518
## 104 244 237
## 105 0 113
## 106 13 105
## 107 0 103
## 108 0 0
## 109 0 0
## 110 0 524
## 111 0 105
## 112 0 82
## 113 0 213
## 114 0 104
## 115 0 642
## 116 0 0
## 117 0 0
## 118 0 0
## 119 0 0
## 120 0 0
## 121 0 0
## 122 0 0
## 123 0 0
## 124 0 0
## 125 0 0
## 126 0 0
## 127 0 0
## 128 0 0
## 129 0 0
## 130 0 0
## 131 0 0
## 132 0 0
## 133 0 0
## 134 0 0
## 135 0 0
## 136 0 0
## 137 0 0
## 138 0 0
## 139 0 0
## 140 0 0
## 141 0 0
## 142 0 0
## 143 0 0
## 144 0 0
## 145 0 0
## 146 0 0
## 147 0 0
## 148 0 0
## 149 0 0
## 150 0 0
## 151 0 0
## 152 0 0
## 153 0 0
## 154 0 0
## 155 0 0
## 156 0 0
## 157 0 0
## 158 0 0
## 159 0 0
## 160 0 0
## 161 0 0
## 162 0 0
## 163 0 0
## 164 0 0
## 165 0 0
## 166 0 0
## 167 0 0
## 168 0 0
## 169 0 0
## 170 0 22
## 171 0 0
## 172 0 0
## 173 0 0
## 174 0 0
## 175 0 0
## 176 0 0
## 177 0 0
## 178 0 0
## 179 0 0
## 180 0 0
## 181 0 0
## 182 0 0
## 183 0 0
## 184 0 0
## 185 0 0
## 186 0 0
## 187 0 0
## 188 0 0
## 189 0 0
## 190 0 0
## 191 0 267
## 192 56 261
## 193 0 116
## 194 0 0
## 195 0 0
## 196 0 59
## 197 0 82
## 198 0 0
## 199 0 65
## 200 0 154
## 201 0 0
## 202 0 11
## 203 0 0
## 204 0 0
## 205 0 0
## 206 0 0
## 207 0 22
## 208 0 8
## 209 0 0
## 210 0 0
## 211 0 0
## 212 0 151
## 213 0 16
## 214 0 32
## 215 0 0
## 216 0 0
## 217 0 0
## 218 0 0
## 219 0 0
## 220 0 0
## 221 0 0
## 222 0 0
## 223 0 75
## 224 0 88
## 225 125 91
## 226 0 116
## 227 0 31
## 228 0 14
## 229 31 0
## 230 428 0
## 231 0 39
## 232 0 121
## 233 0 44
## 234 0 0
## 235 0 0
## 236 0 15
## 237 0 0
## 238 0 0
## 239 0 0
## 240 0 0
## 241 0 822
## 242 0 13
## 243 0 0
## 244 0 239
## 245 0 0
## 246 0 0
## 247 0 274
## 248 0 0
## 249 0 0
## 250 0 0
## 251 0 0
## 252 0 0
## 253 0 0
## 254 0 0
## 255 0 0
## 256 0 43
## 257 0 0
## 258 0 0
## 259 0 0
## 260 0 0
## 261 0 6
## 262 0 0
## 263 0 0
## 264 0 0
## 265 0 12
## 266 0 0
## 267 0 0
## 268 0 156
## 269 0 0
## 270 0 0
## 271 0 0
## 272 0 0
## 273 131 619
## 274 66 147
## 275 0 50
## 276 0 0
## 277 0 0
## 278 0 0
## 279 0 0
## 280 0 0
## 281 0 193
## 282 0 0
## 283 0 0
## 284 0 0
## 285 0 0
## 286 0 0
## 287 647 0
## 288 0 0
## 289 0 0
## 290 0 338
## 291 0 0
## 292 0 0
## 293 0 21
## 294 0 0
## 295 0 0
## 296 0 168
## 297 0 0
## 298 0 0
## 299 0 0
## 300 0 0
## 301 0 0
## 302 0 154
## 303 0 0
## 304 0 7
## 305 0 0
## 306 0 35
## 307 0 56
## 308 0 25
## 309 0 194
## 310 0 46
## 311 0 0
## 312 0 0
## 313 0 0
## 314 0 31
## 315 0 78
## 316 0 0
## 317 0 0
## 318 0 0
## 319 0 289
## 320 407 525
## 321 0 41
## 322 89 0
## 323 0 0
## 324 0 646
## 325 0 0
## 326 0 16
## 327 130 0
## 328 0 0
## 329 0 0
## 330 0 0
## 331 0 99
## 332 0 15
## 333 68 0
## 334 394 0
## 335 1026 0
## 336 383 0
## 337 0 0
## 338 0 33
## 339 0 0
## 340 0 0
## 341 0 0
## 342 0 0
## 343 0 0
## 344 0 0
## 345 0 0
## 346 0 0
## 347 0 0
## 348 0 0
## 349 0 0
## 350 0 0
## 351 0 0
## 352 0 0
## 353 0 0
## 354 0 4
## 355 0 0
## 356 0 0
## 357 0 0
## 358 0 0
## 359 0 0
## 360 0 0
## 361 0 0
## 362 0 0
## 363 0 0
## 364 0 0
## 365 0 0
## 366 0 0
## 367 0 0
## 368 0 0
## 369 0 0
## 370 0 0
## 371 0 0
## 372 0 0
## 373 0 0
## 374 0 0
## 375 0 0
## 376 0 0
## 377 0 0
## 378 0 0
## 379 0 0
## 380 0 0
## 381 0 0
## 382 0 0
## 383 0 0
## 384 0 0
## 385 0 0
## 386 0 0
## 387 0 0
## 388 0 0
## 389 0 0
## 390 0 0
## 391 0 0
## 392 0 0
## 393 0 0
## 394 0 202
## 395 0 148
## 396 0 0
## 397 0 0
## 398 0 0
## 399 0 0
## 400 0 0
## 401 0 0
## 402 0 0
## 403 0 0
## 404 0 0
## 405 0 0
## 406 0 0
## 407 0 0
## 408 0 0
## 409 0 0
## 410 0 0
## 411 0 0
## 412 0 0
## 413 0 0
## 414 0 0
## 415 0 0
## 416 0 0
## 417 0 0
## 418 0 0
## 419 0 0
## 420 0 0
## 421 0 0
## 422 0 0
## 423 0 0
## 424 0 0
## 425 0 0
## 426 0 0
## 427 0 0
## 428 0 0
## 429 0 0
## 430 0 0
## 431 0 0
## 432 0 0
## 433 0 0
## 434 0 0
## 435 0 0
## 436 0 0
## 437 0 0
## 438 0 0
## 439 0 0
## 440 0 0
## 441 0 0
## 442 0 0
## 443 0 0
## 444 0 0
## 445 0 0
## D10_D10_2_straw-16s-D10-2 D01_D01_1_straw-16s-D01-1
## 1 16 0
## 2 251 0
## 3 194 0
## 4 0 0
## 5 0 0
## 6 159 0
## 7 50 0
## 8 0 0
## 9 0 0
## 10 0 0
## 11 43 0
## 12 149 0
## 13 42 0
## 14 0 0
## 15 0 0
## 16 31 0
## 17 17 0
## 18 0 0
## 19 0 0
## 20 0 0
## 21 0 0
## 22 69 0
## 23 120 0
## 24 44 0
## 25 0 0
## 26 13 0
## 27 215 0
## 28 50 0
## 29 0 0
## 30 30 0
## 31 21 0
## 32 92 0
## 33 44 0
## 34 0 0
## 35 0 0
## 36 0 0
## 37 0 0
## 38 80 0
## 39 54 0
## 40 165 0
## 41 4 0
## 42 20 0
## 43 23 0
## 44 0 0
## 45 0 0
## 46 6 0
## 47 0 0
## 48 0 0
## 49 6 0
## 50 0 0
## 51 0 0
## 52 0 0
## 53 27 0
## 54 28 0
## 55 0 0
## 56 17 0
## 57 0 0
## 58 0 0
## 59 23 0
## 60 24 0
## 61 6 0
## 62 0 0
## 63 0 0
## 64 0 0
## 65 0 0
## 66 0 0
## 67 58 0
## 68 0 0
## 69 0 0
## 70 119 0
## 71 0 0
## 72 0 0
## 73 103 0
## 74 16 0
## 75 0 0
## 76 0 0
## 77 0 0
## 78 60 0
## 79 0 0
## 80 0 0
## 81 160 0
## 82 0 0
## 83 0 0
## 84 101 0
## 85 0 0
## 86 0 0
## 87 46 0
## 88 0 0
## 89 405 0
## 90 0 0
## 91 340 0
## 92 119 0
## 93 278 0
## 94 17 0
## 95 287 0
## 96 89 0
## 97 29 0
## 98 140 0
## 99 78 0
## 100 0 0
## 101 45 22
## 102 384 305
## 103 188 162
## 104 80 64
## 105 248 92
## 106 46 45
## 107 203 0
## 108 6 0
## 109 229 0
## 110 864 0
## 111 500 0
## 112 0 0
## 113 131 0
## 114 69 0
## 115 0 0
## 116 118 0
## 117 0 0
## 118 0 0
## 119 0 0
## 120 0 0
## 121 0 0
## 122 0 0
## 123 0 0
## 124 0 0
## 125 0 0
## 126 0 0
## 127 0 0
## 128 0 0
## 129 0 0
## 130 0 0
## 131 0 0
## 132 0 0
## 133 0 0
## 134 19 0
## 135 18 0
## 136 0 0
## 137 0 0
## 138 0 0
## 139 0 0
## 140 0 0
## 141 0 0
## 142 39 0
## 143 0 0
## 144 0 0
## 145 0 0
## 146 0 0
## 147 0 0
## 148 0 0
## 149 9 0
## 150 0 0
## 151 0 0
## 152 0 0
## 153 0 0
## 154 0 0
## 155 10 0
## 156 0 0
## 157 0 0
## 158 0 0
## 159 0 0
## 160 0 0
## 161 0 0
## 162 0 0
## 163 0 0
## 164 0 0
## 165 0 0
## 166 0 0
## 167 0 0
## 168 0 0
## 169 41 0
## 170 70 0
## 171 0 0
## 172 0 0
## 173 0 0
## 174 0 0
## 175 0 0
## 176 20 0
## 177 0 0
## 178 0 0
## 179 0 0
## 180 255 0
## 181 8 0
## 182 35 0
## 183 0 0
## 184 0 0
## 185 0 0
## 186 0 0
## 187 0 0
## 188 0 0
## 189 0 0
## 190 0 0
## 191 0 0
## 192 0 0
## 193 0 35
## 194 0 0
## 195 43 0
## 196 0 0
## 197 0 0
## 198 0 0
## 199 100 0
## 200 0 0
## 201 48 0
## 202 23 0
## 203 0 0
## 204 52 0
## 205 317 0
## 206 0 0
## 207 0 0
## 208 12 0
## 209 0 0
## 210 0 0
## 211 0 0
## 212 0 0
## 213 0 0
## 214 0 0
## 215 21 0
## 216 0 0
## 217 0 0
## 218 0 0
## 219 115 0
## 220 26 0
## 221 0 0
## 222 0 58
## 223 0 0
## 224 0 0
## 225 163 58
## 226 0 90
## 227 0 0
## 228 0 0
## 229 0 0
## 230 0 0
## 231 0 0
## 232 0 0
## 233 0 0
## 234 0 0
## 235 25 0
## 236 0 0
## 237 22 0
## 238 0 0
## 239 0 0
## 240 0 0
## 241 30 0
## 242 42 0
## 243 91 0
## 244 42 0
## 245 0 0
## 246 0 0
## 247 52 0
## 248 0 0
## 249 33 0
## 250 53 0
## 251 66 0
## 252 0 0
## 253 0 0
## 254 32 0
## 255 19 0
## 256 0 0
## 257 0 0
## 258 23 0
## 259 0 0
## 260 0 0
## 261 0 0
## 262 0 0
## 263 0 0
## 264 62 0
## 265 0 0
## 266 0 355
## 267 0 351
## 268 0 54
## 269 0 139
## 270 0 307
## 271 0 102
## 272 0 0
## 273 64 102
## 274 38 230
## 275 0 0
## 276 0 61
## 277 0 0
## 278 0 0
## 279 0 0
## 280 0 47
## 281 0 50
## 282 0 0
## 283 0 0
## 284 0 124
## 285 0 842
## 286 0 23
## 287 0 126
## 288 0 69
## 289 0 0
## 290 0 0
## 291 0 12
## 292 9 0
## 293 0 0
## 294 0 77
## 295 0 57
## 296 0 0
## 297 0 16
## 298 46 51
## 299 0 0
## 300 0 69
## 301 17 0
## 302 0 0
## 303 0 0
## 304 0 0
## 305 0 0
## 306 0 0
## 307 0 0
## 308 0 38
## 309 0 0
## 310 0 0
## 311 0 0
## 312 0 260
## 313 0 0
## 314 0 0
## 315 40 195
## 316 0 54
## 317 0 0
## 318 0 60
## 319 0 72
## 320 0 470
## 321 0 0
## 322 0 236
## 323 0 0
## 324 0 29
## 325 0 0
## 326 0 0
## 327 0 533
## 328 0 79
## 329 0 27
## 330 0 104
## 331 0 0
## 332 0 0
## 333 0 61
## 334 0 370
## 335 0 502
## 336 0 215
## 337 0 225
## 338 0 46
## 339 0 0
## 340 0 230
## 341 0 0
## 342 0 0
## 343 0 0
## 344 0 0
## 345 0 0
## 346 0 0
## 347 0 0
## 348 0 0
## 349 0 0
## 350 0 0
## 351 0 0
## 352 0 0
## 353 0 0
## 354 0 0
## 355 0 0
## 356 0 0
## 357 0 0
## 358 0 0
## 359 37 0
## 360 0 0
## 361 0 0
## 362 0 0
## 363 0 0
## 364 0 0
## 365 0 0
## 366 0 0
## 367 0 0
## 368 0 0
## 369 0 0
## 370 0 0
## 371 0 0
## 372 0 0
## 373 0 0
## 374 0 0
## 375 0 0
## 376 0 0
## 377 0 0
## 378 0 0
## 379 0 0
## 380 0 0
## 381 0 0
## 382 0 0
## 383 0 0
## 384 0 0
## 385 0 0
## 386 0 0
## 387 0 0
## 388 0 0
## 389 0 0
## 390 0 0
## 391 0 0
## 392 0 0
## 393 0 0
## 394 0 0
## 395 0 0
## 396 0 0
## 397 0 0
## 398 0 0
## 399 0 0
## 400 0 0
## 401 0 0
## 402 0 0
## 403 0 0
## 404 0 0
## 405 0 0
## 406 0 0
## 407 0 0
## 408 93 0
## 409 0 0
## 410 0 0
## 411 0 0
## 412 0 8
## 413 0 0
## 414 18 0
## 415 0 0
## 416 0 0
## 417 0 0
## 418 0 0
## 419 0 0
## 420 0 0
## 421 0 0
## 422 0 0
## 423 0 0
## 424 0 0
## 425 0 0
## 426 0 0
## 427 0 0
## 428 0 0
## 429 0 0
## 430 0 0
## 431 0 0
## 432 0 0
## 433 0 0
## 434 0 0
## 435 0 0
## 436 0 0
## 437 0 0
## 438 0 0
## 439 0 589
## 440 0 0
## 441 0 0
## 442 0 57
## 443 0 186
## 444 0 0
## 445 0 0
## D10_D10_3_straw-16s-D10-3 D14_D14_3_straw-16s-D14-3
## 1 0 0
## 2 0 324
## 3 0 192
## 4 0 0
## 5 0 0
## 6 0 166
## 7 0 54
## 8 0 14
## 9 0 0
## 10 0 64
## 11 0 46
## 12 0 0
## 13 0 198
## 14 0 0
## 15 0 0
## 16 0 24
## 17 0 459
## 18 0 333
## 19 0 0
## 20 0 21
## 21 0 26
## 22 0 70
## 23 0 228
## 24 0 35
## 25 0 18
## 26 0 21
## 27 0 0
## 28 0 48
## 29 0 23
## 30 0 68
## 31 0 41
## 32 0 327
## 33 0 47
## 34 0 37
## 35 0 0
## 36 0 0
## 37 0 0
## 38 0 16
## 39 0 54
## 40 79 11
## 41 0 22
## 42 0 124
## 43 0 42
## 44 0 0
## 45 0 32
## 46 0 6
## 47 0 0
## 48 0 16
## 49 0 14
## 50 0 0
## 51 0 36
## 52 0 67
## 53 0 0
## 54 0 28
## 55 0 0
## 56 0 0
## 57 0 0
## 58 0 43
## 59 0 18
## 60 0 53
## 61 0 0
## 62 0 33
## 63 0 0
## 64 0 34
## 65 0 0
## 66 0 0
## 67 0 559
## 68 0 44
## 69 0 20
## 70 0 349
## 71 0 61
## 72 0 0
## 73 0 35
## 74 0 19
## 75 0 0
## 76 0 0
## 77 0 49
## 78 0 55
## 79 0 40
## 80 0 0
## 81 0 71
## 82 0 99
## 83 0 51
## 84 0 0
## 85 0 119
## 86 0 57
## 87 0 16
## 88 0 0
## 89 176 330
## 90 23 0
## 91 153 279
## 92 0 0
## 93 125 164
## 94 0 25
## 95 0 233
## 96 31 260
## 97 0 36
## 98 143 153
## 99 427 125
## 100 0 51
## 101 42 53
## 102 100 193
## 103 58 388
## 104 51 197
## 105 196 113
## 106 0 424
## 107 50 213
## 108 0 0
## 109 127 156
## 110 239 474
## 111 385 773
## 112 158 29
## 113 109 0
## 114 45 18
## 115 0 0
## 116 826 170
## 117 0 39
## 118 0 104
## 119 0 0
## 120 0 0
## 121 0 0
## 122 0 28
## 123 0 11
## 124 0 0
## 125 0 31
## 126 0 93
## 127 0 20
## 128 0 0
## 129 0 0
## 130 0 41
## 131 0 0
## 132 0 15
## 133 0 0
## 134 0 0
## 135 0 0
## 136 0 23
## 137 0 0
## 138 0 0
## 139 0 20
## 140 0 43
## 141 0 0
## 142 0 52
## 143 0 0
## 144 0 109
## 145 0 0
## 146 0 14
## 147 0 0
## 148 0 0
## 149 0 26
## 150 0 35
## 151 0 0
## 152 0 0
## 153 0 0
## 154 0 41
## 155 0 0
## 156 0 41
## 157 0 68
## 158 0 0
## 159 0 0
## 160 0 15
## 161 0 0
## 162 0 57
## 163 0 96
## 164 0 0
## 165 0 12
## 166 0 0
## 167 0 69
## 168 0 20
## 169 0 76
## 170 0 70
## 171 0 30
## 172 0 207
## 173 0 0
## 174 0 0
## 175 59 0
## 176 0 0
## 177 0 0
## 178 0 20
## 179 0 21
## 180 0 0
## 181 0 0
## 182 0 58
## 183 0 0
## 184 0 0
## 185 0 0
## 186 0 0
## 187 0 0
## 188 0 8
## 189 0 0
## 190 0 59
## 191 0 0
## 192 0 0
## 193 0 0
## 194 0 0
## 195 0 0
## 196 0 0
## 197 0 0
## 198 0 20
## 199 0 43
## 200 223 94
## 201 0 0
## 202 0 0
## 203 0 0
## 204 0 40
## 205 0 0
## 206 0 0
## 207 0 0
## 208 0 44
## 209 0 0
## 210 0 0
## 211 0 0
## 212 0 69
## 213 0 0
## 214 0 0
## 215 0 24
## 216 0 0
## 217 0 22
## 218 0 0
## 219 114 0
## 220 0 29
## 221 0 15
## 222 0 41
## 223 0 0
## 224 0 185
## 225 0 0
## 226 0 0
## 227 0 0
## 228 0 20
## 229 34 0
## 230 0 84
## 231 0 28
## 232 0 107
## 233 0 0
## 234 0 0
## 235 0 0
## 236 0 18
## 237 0 0
## 238 0 33
## 239 0 0
## 240 0 0
## 241 0 0
## 242 0 48
## 243 0 0
## 244 0 38
## 245 100 0
## 246 0 22
## 247 66 103
## 248 0 43
## 249 23 8
## 250 0 44
## 251 8 0
## 252 0 36
## 253 0 0
## 254 181 26
## 255 0 0
## 256 0 51
## 257 0 0
## 258 0 0
## 259 0 0
## 260 0 0
## 261 0 55
## 262 0 23
## 263 218 0
## 264 0 0
## 265 0 0
## 266 0 0
## 267 0 0
## 268 0 0
## 269 0 0
## 270 0 0
## 271 0 0
## 272 0 0
## 273 0 222
## 274 0 54
## 275 0 39
## 276 0 0
## 277 0 0
## 278 0 0
## 279 0 0
## 280 0 0
## 281 0 0
## 282 0 0
## 283 0 0
## 284 0 0
## 285 0 0
## 286 0 0
## 287 0 0
## 288 0 0
## 289 0 0
## 290 0 0
## 291 0 0
## 292 0 0
## 293 0 0
## 294 0 0
## 295 0 90
## 296 0 0
## 297 0 0
## 298 0 0
## 299 0 0
## 300 0 0
## 301 0 0
## 302 0 55
## 303 0 0
## 304 0 17
## 305 0 0
## 306 0 0
## 307 0 0
## 308 0 7
## 309 0 0
## 310 0 0
## 311 0 0
## 312 0 0
## 313 0 0
## 314 0 0
## 315 0 65
## 316 0 0
## 317 0 0
## 318 0 0
## 319 0 0
## 320 0 0
## 321 0 0
## 322 0 0
## 323 0 0
## 324 0 0
## 325 0 0
## 326 0 0
## 327 0 0
## 328 0 0
## 329 0 0
## 330 0 18
## 331 0 0
## 332 0 0
## 333 0 0
## 334 0 0
## 335 0 0
## 336 0 0
## 337 0 0
## 338 0 0
## 339 0 0
## 340 0 0
## 341 0 0
## 342 0 0
## 343 0 0
## 344 0 0
## 345 0 0
## 346 0 0
## 347 0 0
## 348 0 0
## 349 0 0
## 350 0 0
## 351 0 0
## 352 0 0
## 353 0 0
## 354 0 0
## 355 0 0
## 356 0 0
## 357 0 0
## 358 0 0
## 359 0 0
## 360 0 0
## 361 0 0
## 362 0 0
## 363 0 64
## 364 0 0
## 365 0 0
## 366 0 0
## 367 0 0
## 368 0 0
## 369 0 0
## 370 0 0
## 371 0 0
## 372 0 0
## 373 0 0
## 374 0 0
## 375 0 26
## 376 0 0
## 377 0 0
## 378 0 0
## 379 0 0
## 380 0 0
## 381 0 0
## 382 0 0
## 383 0 0
## 384 0 0
## 385 0 0
## 386 0 0
## 387 0 0
## 388 0 0
## 389 0 0
## 390 119 0
## 391 0 0
## 392 0 0
## 393 0 0
## 394 0 0
## 395 0 0
## 396 0 0
## 397 0 0
## 398 0 0
## 399 0 0
## 400 0 0
## 401 0 0
## 402 0 0
## 403 0 0
## 404 0 0
## 405 0 0
## 406 0 10
## 407 0 0
## 408 0 0
## 409 0 0
## 410 0 0
## 411 0 0
## 412 0 0
## 413 0 0
## 414 0 0
## 415 0 0
## 416 0 0
## 417 0 26
## 418 0 0
## 419 0 0
## 420 0 63
## 421 0 0
## 422 0 0
## 423 0 0
## 424 0 0
## 425 0 0
## 426 0 0
## 427 0 0
## 428 0 0
## 429 0 0
## 430 0 0
## 431 0 0
## 432 0 0
## 433 148 0
## 434 0 0
## 435 0 0
## 436 0 40
## 437 0 0
## 438 0 0
## 439 0 0
## 440 0 0
## 441 0 0
## 442 0 0
## 443 0 0
## 444 0 0
## 445 0 0
## D05_D05_3_straw-16s-D05-3 D14_D14_5_straw-16s-D14-5
## 1 0 0
## 2 0 190
## 3 0 212
## 4 0 0
## 5 0 30
## 6 0 46
## 7 0 33
## 8 0 0
## 9 0 147
## 10 0 51
## 11 0 13
## 12 0 37
## 13 105 77
## 14 0 0
## 15 0 0
## 16 0 0
## 17 0 147
## 18 52 0
## 19 0 0
## 20 0 66
## 21 0 0
## 22 0 230
## 23 0 260
## 24 0 43
## 25 0 0
## 26 0 8
## 27 0 15
## 28 0 8
## 29 0 0
## 30 0 0
## 31 0 13
## 32 0 67
## 33 0 0
## 34 0 70
## 35 0 0
## 36 0 0
## 37 0 79
## 38 0 0
## 39 0 0
## 40 0 15
## 41 0 122
## 42 0 5
## 43 0 127
## 44 0 0
## 45 0 0
## 46 0 0
## 47 0 16
## 48 0 0
## 49 0 0
## 50 0 0
## 51 0 28
## 52 0 0
## 53 0 0
## 54 0 0
## 55 0 0
## 56 0 0
## 57 0 0
## 58 0 0
## 59 0 0
## 60 0 0
## 61 0 46
## 62 0 0
## 63 0 0
## 64 0 0
## 65 0 0
## 66 0 0
## 67 0 102
## 68 0 57
## 69 0 0
## 70 0 454
## 71 0 0
## 72 0 0
## 73 0 48
## 74 0 0
## 75 0 46
## 76 0 0
## 77 0 0
## 78 32 0
## 79 0 0
## 80 0 0
## 81 24 138
## 82 0 0
## 83 0 0
## 84 0 36
## 85 0 0
## 86 0 56
## 87 0 0
## 88 0 0
## 89 0 155
## 90 0 0
## 91 0 203
## 92 0 100
## 93 0 43
## 94 0 265
## 95 114 228
## 96 246 120
## 97 0 0
## 98 0 75
## 99 0 28
## 100 0 40
## 101 0 102
## 102 147 185
## 103 532 278
## 104 169 133
## 105 93 223
## 106 288 115
## 107 53 300
## 108 0 0
## 109 172 107
## 110 0 237
## 111 0 729
## 112 0 0
## 113 0 16
## 114 0 6
## 115 0 197
## 116 0 104
## 117 0 0
## 118 0 21
## 119 0 0
## 120 0 0
## 121 0 0
## 122 0 22
## 123 0 0
## 124 0 0
## 125 35 0
## 126 0 0
## 127 0 0
## 128 0 0
## 129 0 0
## 130 0 8
## 131 0 0
## 132 0 6
## 133 0 0
## 134 0 0
## 135 0 0
## 136 0 0
## 137 0 0
## 138 0 0
## 139 0 12
## 140 52 0
## 141 0 0
## 142 0 0
## 143 0 0
## 144 0 0
## 145 0 0
## 146 0 0
## 147 0 0
## 148 0 0
## 149 0 0
## 150 0 0
## 151 0 0
## 152 0 35
## 153 0 0
## 154 0 0
## 155 0 0
## 156 0 17
## 157 0 0
## 158 0 0
## 159 0 0
## 160 0 0
## 161 0 16
## 162 0 31
## 163 0 30
## 164 0 108
## 165 0 0
## 166 0 55
## 167 0 0
## 168 0 0
## 169 0 53
## 170 103 21
## 171 0 34
## 172 0 72
## 173 0 0
## 174 0 30
## 175 0 0
## 176 0 17
## 177 0 21
## 178 0 0
## 179 0 0
## 180 0 101
## 181 0 14
## 182 0 21
## 183 0 0
## 184 0 0
## 185 0 0
## 186 0 34
## 187 0 16
## 188 0 0
## 189 0 0
## 190 0 0
## 191 0 33
## 192 0 47
## 193 0 0
## 194 12 0
## 195 0 62
## 196 0 0
## 197 0 0
## 198 29 0
## 199 36 0
## 200 74 0
## 201 0 0
## 202 0 0
## 203 0 0
## 204 40 0
## 205 0 0
## 206 0 0
## 207 0 0
## 208 42 0
## 209 20 0
## 210 18 0
## 211 0 0
## 212 0 0
## 213 0 0
## 214 47 0
## 215 53 0
## 216 0 0
## 217 292 27
## 218 0 0
## 219 0 0
## 220 0 0
## 221 0 9
## 222 0 0
## 223 0 0
## 224 0 0
## 225 157 152
## 226 0 0
## 227 18 0
## 228 57 0
## 229 0 0
## 230 68 0
## 231 57 0
## 232 137 0
## 233 0 0
## 234 0 76
## 235 0 27
## 236 18 0
## 237 0 0
## 238 0 0
## 239 0 0
## 240 0 6
## 241 0 0
## 242 55 0
## 243 0 0
## 244 371 0
## 245 0 0
## 246 0 0
## 247 304 0
## 248 0 0
## 249 0 0
## 250 0 0
## 251 12 0
## 252 94 0
## 253 0 0
## 254 630 0
## 255 0 0
## 256 0 0
## 257 0 0
## 258 0 0
## 259 0 76
## 260 0 0
## 261 0 0
## 262 0 0
## 263 130 0
## 264 0 4
## 265 0 0
## 266 92 0
## 267 0 0
## 268 178 0
## 269 0 0
## 270 126 0
## 271 0 0
## 272 154 0
## 273 365 63
## 274 747 31
## 275 562 0
## 276 181 0
## 277 38 0
## 278 41 0
## 279 26 0
## 280 57 0
## 281 0 0
## 282 23 0
## 283 54 0
## 284 120 0
## 285 657 0
## 286 33 0
## 287 405 0
## 288 203 0
## 289 0 0
## 290 106 0
## 291 0 0
## 292 34 0
## 293 38 0
## 294 0 0
## 295 202 0
## 296 67 0
## 297 18 0
## 298 30 0
## 299 54 0
## 300 0 0
## 301 105 0
## 302 9 0
## 303 65 0
## 304 172 0
## 305 23 0
## 306 44 0
## 307 0 0
## 308 307 0
## 309 21 0
## 310 0 0
## 311 34 0
## 312 0 0
## 313 149 0
## 314 46 0
## 315 76 21
## 316 0 0
## 317 0 0
## 318 0 0
## 319 85 0
## 320 666 0
## 321 0 0
## 322 127 0
## 323 45 0
## 324 193 0
## 325 72 0
## 326 96 0
## 327 227 0
## 328 0 0
## 329 0 0
## 330 294 0
## 331 124 0
## 332 0 0
## 333 316 0
## 334 377 0
## 335 155 0
## 336 145 0
## 337 0 0
## 338 0 0
## 339 0 0
## 340 0 0
## 341 0 4
## 342 0 0
## 343 0 39
## 344 0 0
## 345 0 0
## 346 0 0
## 347 0 0
## 348 0 0
## 349 0 0
## 350 0 0
## 351 0 0
## 352 0 0
## 353 0 0
## 354 8 0
## 355 0 0
## 356 0 0
## 357 0 0
## 358 0 0
## 359 0 0
## 360 0 0
## 361 0 0
## 362 0 0
## 363 0 0
## 364 0 0
## 365 0 0
## 366 28 0
## 367 0 0
## 368 0 0
## 369 0 0
## 370 0 0
## 371 0 83
## 372 0 0
## 373 0 0
## 374 0 0
## 375 0 0
## 376 0 0
## 377 0 0
## 378 0 0
## 379 14 0
## 380 0 0
## 381 0 0
## 382 212 0
## 383 50 0
## 384 0 0
## 385 0 0
## 386 0 0
## 387 26 0
## 388 0 93
## 389 0 0
## 390 0 0
## 391 0 0
## 392 0 0
## 393 0 0
## 394 0 0
## 395 0 0
## 396 0 0
## 397 0 0
## 398 0 0
## 399 0 0
## 400 0 0
## 401 0 0
## 402 0 0
## 403 0 0
## 404 0 0
## 405 0 0
## 406 0 0
## 407 0 0
## 408 0 0
## 409 0 0
## 410 0 0
## 411 0 0
## 412 8 0
## 413 0 0
## 414 0 0
## 415 0 0
## 416 0 0
## 417 0 0
## 418 0 0
## 419 0 0
## 420 0 0
## 421 149 0
## 422 237 0
## 423 0 0
## 424 0 0
## 425 0 0
## 426 0 0
## 427 0 0
## 428 0 0
## 429 0 0
## 430 0 0
## 431 0 0
## 432 0 0
## 433 0 0
## 434 0 0
## 435 0 0
## 436 0 0
## 437 0 0
## 438 0 0
## 439 0 0
## 440 0 0
## 441 0 0
## 442 0 0
## 443 0 0
## 444 0 0
## 445 0 0
## D15_D15_3_straw-16s-D15-3 D13_D13_1_straw-16s-D13-1
## 1 0 0
## 2 238 300
## 3 40 0
## 4 68 0
## 5 0 0
## 6 0 68
## 7 0 0
## 8 0 0
## 9 0 166
## 10 55 45
## 11 47 117
## 12 0 0
## 13 92 232
## 14 0 0
## 15 0 31
## 16 22 26
## 17 275 253
## 18 177 367
## 19 0 79
## 20 32 0
## 21 94 0
## 22 57 196
## 23 212 133
## 24 30 57
## 25 22 0
## 26 14 55
## 27 0 19
## 28 0 29
## 29 0 28
## 30 79 67
## 31 0 73
## 32 217 103
## 33 0 22
## 34 64 35
## 35 123 0
## 36 20 0
## 37 63 16
## 38 0 0
## 39 32 31
## 40 227 0
## 41 44 76
## 42 44 42
## 43 38 39
## 44 70 0
## 45 18 0
## 46 0 13
## 47 0 50
## 48 0 22
## 49 0 82
## 50 0 11
## 51 0 92
## 52 0 0
## 53 18 13
## 54 0 0
## 55 0 12
## 56 0 0
## 57 0 48
## 58 0 0
## 59 5 30
## 60 12 10
## 61 38 0
## 62 0 41
## 63 68 0
## 64 13 43
## 65 0 0
## 66 21 0
## 67 680 624
## 68 44 0
## 69 0 0
## 70 461 187
## 71 0 199
## 72 0 23
## 73 69 32
## 74 43 0
## 75 0 0
## 76 103 0
## 77 20 29
## 78 73 27
## 79 0 31
## 80 40 0
## 81 143 128
## 82 51 136
## 83 0 61
## 84 47 0
## 85 26 17
## 86 0 15
## 87 10 38
## 88 0 0
## 89 202 117
## 90 26 0
## 91 537 332
## 92 0 205
## 93 168 126
## 94 0 31
## 95 98 341
## 96 259 33
## 97 0 0
## 98 89 0
## 99 134 115
## 100 0 0
## 101 48 47
## 102 95 290
## 103 497 270
## 104 217 160
## 105 54 130
## 106 461 153
## 107 75 94
## 108 21 0
## 109 0 0
## 110 249 221
## 111 370 578
## 112 0 0
## 113 0 0
## 114 17 9
## 115 0 83
## 116 278 0
## 117 0 37
## 118 43 57
## 119 0 52
## 120 17 0
## 121 51 18
## 122 12 21
## 123 28 26
## 124 0 29
## 125 0 31
## 126 0 70
## 127 28 0
## 128 0 72
## 129 0 24
## 130 0 29
## 131 36 26
## 132 20 31
## 133 0 23
## 134 0 54
## 135 0 0
## 136 0 25
## 137 33 61
## 138 0 41
## 139 0 27
## 140 74 90
## 141 0 56
## 142 41 79
## 143 0 20
## 144 20 0
## 145 44 28
## 146 0 36
## 147 79 173
## 148 0 20
## 149 0 27
## 150 30 39
## 151 18 0
## 152 31 46
## 153 0 11
## 154 0 50
## 155 0 15
## 156 26 21
## 157 0 43
## 158 0 61
## 159 0 141
## 160 0 0
## 161 0 0
## 162 0 32
## 163 0 53
## 164 0 140
## 165 0 186
## 166 0 66
## 167 39 0
## 168 0 0
## 169 0 210
## 170 0 265
## 171 0 61
## 172 91 94
## 173 0 0
## 174 0 0
## 175 0 0
## 176 4 41
## 177 0 28
## 178 0 18
## 179 0 34
## 180 0 0
## 181 0 0
## 182 0 0
## 183 0 19
## 184 0 0
## 185 0 21
## 186 0 0
## 187 13 0
## 188 0 20
## 189 0 14
## 190 0 26
## 191 0 0
## 192 12 0
## 193 0 0
## 194 0 0
## 195 0 0
## 196 0 0
## 197 0 0
## 198 0 0
## 199 31 0
## 200 0 0
## 201 0 87
## 202 17 0
## 203 0 0
## 204 29 17
## 205 0 0
## 206 0 0
## 207 0 40
## 208 0 84
## 209 0 0
## 210 0 0
## 211 0 0
## 212 0 49
## 213 0 0
## 214 0 37
## 215 0 0
## 216 0 0
## 217 46 0
## 218 0 82
## 219 0 0
## 220 0 0
## 221 0 0
## 222 0 0
## 223 0 0
## 224 0 0
## 225 164 0
## 226 152 0
## 227 0 19
## 228 0 0
## 229 0 0
## 230 89 0
## 231 0 27
## 232 0 0
## 233 0 0
## 234 0 29
## 235 0 0
## 236 0 0
## 237 9 0
## 238 0 0
## 239 0 0
## 240 0 0
## 241 0 181
## 242 0 0
## 243 0 0
## 244 152 0
## 245 0 0
## 246 0 0
## 247 91 0
## 248 0 0
## 249 32 0
## 250 0 0
## 251 37 0
## 252 108 0
## 253 16 0
## 254 81 0
## 255 0 0
## 256 0 0
## 257 0 0
## 258 0 0
## 259 76 0
## 260 0 0
## 261 0 0
## 262 32 0
## 263 48 0
## 264 0 0
## 265 0 11
## 266 0 0
## 267 0 0
## 268 0 0
## 269 0 0
## 270 0 0
## 271 0 0
## 272 0 0
## 273 38 184
## 274 0 39
## 275 0 0
## 276 0 66
## 277 0 0
## 278 0 0
## 279 0 0
## 280 0 25
## 281 0 0
## 282 0 0
## 283 0 0
## 284 0 0
## 285 0 0
## 286 0 0
## 287 0 0
## 288 0 0
## 289 0 0
## 290 0 0
## 291 0 0
## 292 0 0
## 293 0 0
## 294 0 0
## 295 0 0
## 296 0 0
## 297 0 0
## 298 0 0
## 299 0 0
## 300 0 0
## 301 0 0
## 302 0 0
## 303 0 0
## 304 0 0
## 305 0 0
## 306 0 0
## 307 0 0
## 308 5 0
## 309 0 0
## 310 0 0
## 311 0 0
## 312 0 0
## 313 0 0
## 314 0 0
## 315 57 0
## 316 0 0
## 317 0 0
## 318 0 0
## 319 0 0
## 320 0 0
## 321 0 0
## 322 0 0
## 323 0 0
## 324 0 0
## 325 0 0
## 326 0 0
## 327 0 0
## 328 0 0
## 329 0 0
## 330 0 13
## 331 0 0
## 332 0 0
## 333 0 0
## 334 0 0
## 335 0 0
## 336 0 0
## 337 0 0
## 338 0 0
## 339 0 0
## 340 0 0
## 341 0 0
## 342 0 0
## 343 0 0
## 344 0 0
## 345 0 0
## 346 0 0
## 347 0 0
## 348 0 0
## 349 0 0
## 350 0 0
## 351 0 0
## 352 0 28
## 353 0 0
## 354 0 0
## 355 0 0
## 356 77 0
## 357 0 0
## 358 0 0
## 359 0 0
## 360 0 0
## 361 0 0
## 362 0 0
## 363 0 0
## 364 0 0
## 365 0 0
## 366 0 0
## 367 0 0
## 368 29 0
## 369 0 0
## 370 0 0
## 371 0 0
## 372 0 0
## 373 0 0
## 374 0 0
## 375 0 37
## 376 0 0
## 377 0 0
## 378 0 0
## 379 0 0
## 380 58 0
## 381 0 0
## 382 0 0
## 383 0 0
## 384 0 0
## 385 0 0
## 386 0 0
## 387 0 0
## 388 0 0
## 389 0 0
## 390 0 0
## 391 0 0
## 392 0 0
## 393 0 0
## 394 0 0
## 395 0 0
## 396 0 0
## 397 0 31
## 398 0 0
## 399 0 0
## 400 0 0
## 401 0 0
## 402 0 0
## 403 0 0
## 404 0 0
## 405 0 0
## 406 0 0
## 407 0 41
## 408 0 0
## 409 0 0
## 410 0 0
## 411 0 66
## 412 0 0
## 413 0 0
## 414 0 0
## 415 0 0
## 416 0 0
## 417 0 9
## 418 0 13
## 419 0 0
## 420 0 0
## 421 0 0
## 422 0 0
## 423 0 0
## 424 0 0
## 425 0 0
## 426 0 142
## 427 0 0
## 428 0 0
## 429 0 0
## 430 0 0
## 431 0 0
## 432 0 0
## 433 0 0
## 434 0 0
## 435 0 0
## 436 0 0
## 437 0 0
## 438 0 0
## 439 0 0
## 440 0 0
## 441 0 0
## 442 0 0
## 443 0 0
## 444 0 0
## 445 0 0
## D13_D13_3_straw-16s-D13-3 D14_D14_1_straw-16s-D14-1
## 1 57 0
## 2 487 135
## 3 78 0
## 4 52 107
## 5 0 46
## 6 151 107
## 7 40 55
## 8 59 22
## 9 0 0
## 10 56 32
## 11 156 52
## 12 105 120
## 13 274 136
## 14 0 0
## 15 29 0
## 16 50 27
## 17 433 245
## 18 110 101
## 19 46 145
## 20 0 0
## 21 524 0
## 22 427 58
## 23 150 138
## 24 37 63
## 25 22 0
## 26 38 28
## 27 0 27
## 28 9 14
## 29 25 23
## 30 100 0
## 31 35 52
## 32 261 135
## 33 15 0
## 34 126 41
## 35 41 0
## 36 14 0
## 37 94 0
## 38 76 0
## 39 18 0
## 40 137 0
## 41 0 0
## 42 101 20
## 43 284 44
## 44 0 13
## 45 0 0
## 46 11 18
## 47 35 0
## 48 33 14
## 49 21 36
## 50 0 19
## 51 124 0
## 52 90 114
## 53 0 0
## 54 25 0
## 55 14 10
## 56 22 0
## 57 0 13
## 58 43 34
## 59 16 15
## 60 65 0
## 61 38 43
## 62 0 0
## 63 54 0
## 64 0 0
## 65 36 22
## 66 24 0
## 67 377 607
## 68 0 0
## 69 0 0
## 70 411 457
## 71 15 281
## 72 0 22
## 73 32 19
## 74 45 0
## 75 44 0
## 76 356 0
## 77 39 0
## 78 53 38
## 79 0 0
## 80 50 0
## 81 229 130
## 82 85 93
## 83 39 40
## 84 0 0
## 85 161 0
## 86 43 0
## 87 0 41
## 88 0 0
## 89 154 66
## 90 0 0
## 91 249 309
## 92 87 0
## 93 243 114
## 94 30 37
## 95 288 124
## 96 397 164
## 97 0 0
## 98 0 0
## 99 92 65
## 100 0 37
## 101 38 98
## 102 152 604
## 103 622 382
## 104 173 239
## 105 77 242
## 106 396 162
## 107 125 208
## 108 0 0
## 109 477 0
## 110 331 175
## 111 460 133
## 112 0 0
## 113 0 0
## 114 16 0
## 115 18 0
## 116 141 0
## 117 0 38
## 118 21 54
## 119 32 119
## 120 0 38
## 121 0 0
## 122 0 59
## 123 16 22
## 124 0 19
## 125 0 34
## 126 38 105
## 127 0 22
## 128 0 0
## 129 24 21
## 130 8 46
## 131 42 33
## 132 22 54
## 133 0 29
## 134 0 62
## 135 0 57
## 136 0 45
## 137 0 25
## 138 22 19
## 139 0 28
## 140 76 0
## 141 42 39
## 142 61 69
## 143 19 31
## 144 0 35
## 145 25 69
## 146 43 27
## 147 0 0
## 148 18 0
## 149 6 14
## 150 0 187
## 151 11 15
## 152 0 64
## 153 0 9
## 154 39 0
## 155 0 11
## 156 0 67
## 157 0 124
## 158 0 41
## 159 73 136
## 160 21 9
## 161 15 0
## 162 29 78
## 163 0 39
## 164 0 0
## 165 0 32
## 166 0 0
## 167 138 65
## 168 0 0
## 169 78 26
## 170 186 87
## 171 43 41
## 172 75 0
## 173 0 62
## 174 120 32
## 175 0 0
## 176 0 18
## 177 0 16
## 178 14 0
## 179 0 0
## 180 176 0
## 181 11 0
## 182 0 10
## 183 0 0
## 184 0 0
## 185 0 0
## 186 0 0
## 187 0 0
## 188 0 0
## 189 0 0
## 190 0 0
## 191 0 0
## 192 0 0
## 193 0 0
## 194 0 0
## 195 0 0
## 196 0 0
## 197 0 0
## 198 0 0
## 199 72 16
## 200 53 0
## 201 0 0
## 202 0 0
## 203 0 0
## 204 41 32
## 205 363 0
## 206 0 35
## 207 0 0
## 208 44 37
## 209 0 0
## 210 42 0
## 211 0 0
## 212 43 67
## 213 0 0
## 214 21 63
## 215 23 0
## 216 0 0
## 217 61 45
## 218 0 0
## 219 44 0
## 220 0 0
## 221 0 0
## 222 51 0
## 223 110 0
## 224 0 0
## 225 174 167
## 226 138 0
## 227 33 0
## 228 37 0
## 229 0 0
## 230 90 56
## 231 68 0
## 232 68 0
## 233 0 0
## 234 0 0
## 235 0 0
## 236 15 0
## 237 0 0
## 238 0 0
## 239 0 0
## 240 0 0
## 241 0 339
## 242 51 0
## 243 45 0
## 244 39 0
## 245 0 0
## 246 0 0
## 247 64 0
## 248 0 0
## 249 29 0
## 250 0 0
## 251 0 0
## 252 0 0
## 253 0 0
## 254 34 0
## 255 0 0
## 256 0 0
## 257 0 0
## 258 40 0
## 259 0 0
## 260 0 0
## 261 0 0
## 262 0 0
## 263 98 0
## 264 0 0
## 265 0 0
## 266 0 0
## 267 0 0
## 268 0 0
## 269 0 0
## 270 0 0
## 271 0 0
## 272 22 0
## 273 194 58
## 274 193 85
## 275 0 0
## 276 40 50
## 277 0 0
## 278 126 0
## 279 0 0
## 280 0 22
## 281 0 0
## 282 0 0
## 283 0 0
## 284 0 0
## 285 0 0
## 286 0 0
## 287 0 0
## 288 0 0
## 289 0 0
## 290 0 0
## 291 0 0
## 292 0 0
## 293 0 0
## 294 0 0
## 295 0 0
## 296 114 0
## 297 0 0
## 298 0 0
## 299 0 0
## 300 0 0
## 301 0 0
## 302 0 0
## 303 0 0
## 304 0 0
## 305 0 0
## 306 0 0
## 307 0 0
## 308 11 0
## 309 0 0
## 310 0 0
## 311 0 0
## 312 0 0
## 313 0 0
## 314 0 0
## 315 45 0
## 316 0 0
## 317 0 0
## 318 0 0
## 319 0 0
## 320 18 0
## 321 0 0
## 322 0 0
## 323 0 0
## 324 0 0
## 325 0 0
## 326 0 0
## 327 0 0
## 328 0 0
## 329 0 0
## 330 0 0
## 331 0 0
## 332 0 0
## 333 0 0
## 334 0 0
## 335 0 0
## 336 0 0
## 337 0 0
## 338 16 0
## 339 0 0
## 340 0 0
## 341 0 0
## 342 0 0
## 343 0 0
## 344 0 0
## 345 0 0
## 346 0 0
## 347 0 0
## 348 0 0
## 349 0 0
## 350 0 0
## 351 0 0
## 352 0 59
## 353 0 0
## 354 0 0
## 355 0 0
## 356 65 0
## 357 0 0
## 358 0 0
## 359 40 0
## 360 0 0
## 361 0 0
## 362 0 0
## 363 0 0
## 364 0 0
## 365 0 0
## 366 0 0
## 367 0 0
## 368 0 0
## 369 0 0
## 370 0 25
## 371 0 82
## 372 0 0
## 373 0 0
## 374 0 0
## 375 0 0
## 376 0 0
## 377 0 0
## 378 0 0
## 379 0 0
## 380 0 0
## 381 0 36
## 382 0 0
## 383 0 0
## 384 55 0
## 385 0 0
## 386 0 0
## 387 0 55
## 388 78 0
## 389 0 0
## 390 0 0
## 391 0 0
## 392 0 0
## 393 0 0
## 394 0 0
## 395 0 0
## 396 0 0
## 397 0 0
## 398 0 0
## 399 0 0
## 400 0 0
## 401 0 0
## 402 0 0
## 403 0 0
## 404 0 0
## 405 0 0
## 406 0 16
## 407 0 0
## 408 0 0
## 409 0 0
## 410 0 0
## 411 0 0
## 412 0 0
## 413 0 0
## 414 0 0
## 415 0 0
## 416 0 0
## 417 0 0
## 418 0 0
## 419 0 0
## 420 0 0
## 421 0 0
## 422 0 0
## 423 0 0
## 424 0 0
## 425 0 0
## 426 0 0
## 427 0 0
## 428 0 0
## 429 19 0
## 430 0 0
## 431 0 0
## 432 0 0
## 433 0 0
## 434 0 0
## 435 0 0
## 436 0 0
## 437 0 0
## 438 61 0
## 439 0 0
## 440 0 0
## 441 0 0
## 442 0 0
## 443 0 0
## 444 0 0
## 445 0 0
## D03_D03_1_straw-16s-D03-1 D14_D14_4_straw-16s-D14-4
## 1 0 60
## 2 0 211
## 3 0 77
## 4 0 0
## 5 0 62
## 6 0 69
## 7 0 26
## 8 0 0
## 9 0 63
## 10 0 29
## 11 0 30
## 12 0 94
## 13 43 145
## 14 0 45
## 15 0 0
## 16 0 26
## 17 0 157
## 18 0 191
## 19 0 40
## 20 0 0
## 21 0 34
## 22 0 460
## 23 0 116
## 24 0 36
## 25 0 0
## 26 0 15
## 27 0 17
## 28 0 15
## 29 0 25
## 30 0 55
## 31 0 58
## 32 0 60
## 33 0 0
## 34 0 23
## 35 0 0
## 36 0 38
## 37 0 263
## 38 0 79
## 39 0 22
## 40 0 27
## 41 0 0
## 42 0 22
## 43 0 165
## 44 0 0
## 45 0 70
## 46 0 11
## 47 0 87
## 48 0 10
## 49 0 41
## 50 0 12
## 51 0 49
## 52 0 22
## 53 0 0
## 54 0 69
## 55 0 11
## 56 0 31
## 57 0 28
## 58 0 41
## 59 0 12
## 60 0 0
## 61 0 20
## 62 0 37
## 63 0 0
## 64 0 25
## 65 0 20
## 66 0 0
## 67 0 84
## 68 0 136
## 69 0 0
## 70 0 192
## 71 0 106
## 72 0 21
## 73 0 19
## 74 0 38
## 75 0 0
## 76 0 0
## 77 0 25
## 78 0 29
## 79 0 24
## 80 0 0
## 81 0 0
## 82 0 115
## 83 0 19
## 84 0 52
## 85 0 274
## 86 0 52
## 87 0 18
## 88 7 0
## 89 0 163
## 90 0 0
## 91 0 366
## 92 0 0
## 93 0 0
## 94 0 13
## 95 160 81
## 96 9 26
## 97 0 24
## 98 0 45
## 99 0 136
## 100 42 0
## 101 39 84
## 102 480 279
## 103 319 135
## 104 288 104
## 105 193 162
## 106 112 105
## 107 18 136
## 108 0 0
## 109 0 115
## 110 47 310
## 111 0 190
## 112 0 27
## 113 0 6
## 114 0 15
## 115 0 145
## 116 0 71
## 117 0 0
## 118 0 0
## 119 0 0
## 120 0 0
## 121 0 0
## 122 0 0
## 123 0 0
## 124 0 0
## 125 0 0
## 126 0 0
## 127 0 0
## 128 0 0
## 129 0 0
## 130 0 0
## 131 0 0
## 132 0 0
## 133 0 0
## 134 0 0
## 135 0 0
## 136 0 0
## 137 0 0
## 138 0 0
## 139 0 0
## 140 0 0
## 141 0 0
## 142 0 0
## 143 0 0
## 144 0 0
## 145 0 0
## 146 0 0
## 147 0 0
## 148 0 0
## 149 0 0
## 150 0 0
## 151 0 0
## 152 0 0
## 153 0 0
## 154 0 0
## 155 0 0
## 156 0 0
## 157 0 0
## 158 0 0
## 159 0 0
## 160 0 0
## 161 0 0
## 162 0 0
## 163 0 0
## 164 0 0
## 165 0 41
## 166 0 0
## 167 0 0
## 168 0 0
## 169 0 0
## 170 31 0
## 171 0 0
## 172 0 0
## 173 0 0
## 174 0 0
## 175 0 0
## 176 0 0
## 177 0 0
## 178 0 0
## 179 0 0
## 180 0 0
## 181 0 0
## 182 0 0
## 183 0 0
## 184 0 0
## 185 0 0
## 186 0 0
## 187 0 0
## 188 0 0
## 189 0 0
## 190 0 0
## 191 0 0
## 192 23 0
## 193 0 0
## 194 0 6
## 195 0 0
## 196 28 0
## 197 20 18
## 198 0 0
## 199 0 0
## 200 0 69
## 201 0 0
## 202 0 0
## 203 0 24
## 204 0 0
## 205 0 0
## 206 0 0
## 207 0 0
## 208 8 32
## 209 0 0
## 210 0 135
## 211 0 0
## 212 0 0
## 213 0 0
## 214 45 0
## 215 0 0
## 216 0 0
## 217 0 0
## 218 0 0
## 219 0 22
## 220 0 0
## 221 0 0
## 222 0 0
## 223 0 0
## 224 232 0
## 225 0 0
## 226 0 0
## 227 25 0
## 228 0 0
## 229 0 0
## 230 54 0
## 231 32 0
## 232 0 0
## 233 0 38
## 234 0 136
## 235 0 0
## 236 0 0
## 237 0 20
## 238 0 52
## 239 0 0
## 240 0 0
## 241 0 240
## 242 0 15
## 243 0 0
## 244 32 74
## 245 0 0
## 246 0 0
## 247 55 120
## 248 0 0
## 249 0 0
## 250 0 0
## 251 0 0
## 252 18 33
## 253 86 0
## 254 0 97
## 255 0 0
## 256 0 0
## 257 0 0
## 258 0 0
## 259 0 0
## 260 0 0
## 261 0 0
## 262 0 0
## 263 0 0
## 264 0 0
## 265 17 0
## 266 95 0
## 267 73 0
## 268 0 0
## 269 40 0
## 270 56 0
## 271 66 0
## 272 0 0
## 273 327 36
## 274 524 77
## 275 109 0
## 276 71 0
## 277 0 0
## 278 0 0
## 279 0 0
## 280 69 0
## 281 0 0
## 282 16 0
## 283 0 0
## 284 126 0
## 285 308 0
## 286 32 0
## 287 166 0
## 288 0 0
## 289 0 0
## 290 84 0
## 291 28 0
## 292 0 0
## 293 0 0
## 294 31 0
## 295 61 54
## 296 106 0
## 297 0 0
## 298 25 0
## 299 0 77
## 300 39 0
## 301 0 0
## 302 34 0
## 303 20 0
## 304 0 0
## 305 0 0
## 306 25 0
## 307 0 0
## 308 310 0
## 309 207 0
## 310 227 0
## 311 0 0
## 312 116 0
## 313 64 0
## 314 0 0
## 315 312 0
## 316 0 0
## 317 79 0
## 318 112 0
## 319 386 0
## 320 331 21
## 321 43 0
## 322 0 0
## 323 0 0
## 324 121 0
## 325 0 0
## 326 0 0
## 327 272 0
## 328 44 0
## 329 30 0
## 330 242 0
## 331 0 0
## 332 0 0
## 333 141 0
## 334 117 0
## 335 100 0
## 336 218 0
## 337 79 0
## 338 161 0
## 339 0 0
## 340 0 0
## 341 0 0
## 342 0 0
## 343 0 0
## 344 0 0
## 345 0 0
## 346 0 0
## 347 0 0
## 348 0 0
## 349 47 0
## 350 0 0
## 351 0 0
## 352 0 0
## 353 0 0
## 354 2 0
## 355 0 0
## 356 0 0
## 357 0 0
## 358 0 0
## 359 0 0
## 360 0 0
## 361 0 0
## 362 0 0
## 363 0 0
## 364 0 0
## 365 0 0
## 366 0 0
## 367 0 0
## 368 0 0
## 369 0 0
## 370 0 0
## 371 0 0
## 372 0 0
## 373 0 0
## 374 10 0
## 375 0 7
## 376 0 14
## 377 6 0
## 378 0 0
## 379 0 0
## 380 0 0
## 381 0 0
## 382 0 0
## 383 0 0
## 384 0 0
## 385 0 0
## 386 0 0
## 387 0 0
## 388 0 0
## 389 0 159
## 390 0 0
## 391 0 0
## 392 0 0
## 393 0 0
## 394 0 0
## 395 0 0
## 396 0 0
## 397 0 0
## 398 0 0
## 399 0 0
## 400 0 0
## 401 0 0
## 402 0 0
## 403 0 0
## 404 0 0
## 405 0 0
## 406 0 0
## 407 0 0
## 408 0 0
## 409 0 0
## 410 0 0
## 411 0 0
## 412 0 0
## 413 0 0
## 414 0 0
## 415 0 0
## 416 0 0
## 417 0 0
## 418 0 0
## 419 0 0
## 420 0 0
## 421 0 0
## 422 0 0
## 423 0 0
## 424 0 0
## 425 0 0
## 426 0 0
## 427 0 0
## 428 0 48
## 429 0 0
## 430 0 99
## 431 0 0
## 432 0 103
## 433 0 0
## 434 0 0
## 435 0 0
## 436 0 0
## 437 0 0
## 438 0 0
## 439 0 0
## 440 0 0
## 441 0 0
## 442 0 0
## 443 0 0
## 444 0 0
## 445 0 0
## D15_D15_1_straw-16s-D15-1
## 1 0
## 2 21
## 3 0
## 4 0
## 5 0
## 6 17
## 7 34
## 8 27
## 9 0
## 10 0
## 11 0
## 12 0
## 13 241
## 14 0
## 15 0
## 16 0
## 17 165
## 18 293
## 19 164
## 20 0
## 21 0
## 22 157
## 23 48
## 24 0
## 25 16
## 26 0
## 27 0
## 28 17
## 29 0
## 30 59
## 31 46
## 32 61
## 33 0
## 34 0
## 35 0
## 36 0
## 37 53
## 38 38
## 39 0
## 40 0
## 41 0
## 42 70
## 43 39
## 44 0
## 45 33
## 46 17
## 47 0
## 48 6
## 49 0
## 50 45
## 51 209
## 52 50
## 53 0
## 54 0
## 55 0
## 56 0
## 57 25
## 58 0
## 59 22
## 60 0
## 61 0
## 62 43
## 63 0
## 64 0
## 65 16
## 66 18
## 67 0
## 68 193
## 69 57
## 70 0
## 71 0
## 72 0
## 73 0
## 74 0
## 75 0
## 76 0
## 77 32
## 78 72
## 79 0
## 80 0
## 81 0
## 82 37
## 83 72
## 84 0
## 85 349
## 86 57
## 87 0
## 88 0
## 89 0
## 90 0
## 91 0
## 92 0
## 93 0
## 94 0
## 95 103
## 96 52
## 97 0
## 98 0
## 99 55
## 100 0
## 101 0
## 102 61
## 103 28
## 104 36
## 105 88
## 106 0
## 107 0
## 108 0
## 109 0
## 110 321
## 111 0
## 112 0
## 113 0
## 114 0
## 115 0
## 116 0
## 117 0
## 118 38
## 119 0
## 120 0
## 121 0
## 122 35
## 123 0
## 124 0
## 125 143
## 126 0
## 127 0
## 128 0
## 129 0
## 130 10
## 131 0
## 132 0
## 133 0
## 134 0
## 135 0
## 136 0
## 137 0
## 138 0
## 139 0
## 140 0
## 141 0
## 142 96
## 143 0
## 144 0
## 145 0
## 146 0
## 147 0
## 148 0
## 149 10
## 150 47
## 151 0
## 152 0
## 153 0
## 154 0
## 155 0
## 156 0
## 157 0
## 158 0
## 159 0
## 160 0
## 161 0
## 162 0
## 163 0
## 164 0
## 165 0
## 166 0
## 167 0
## 168 0
## 169 0
## 170 56
## 171 0
## 172 0
## 173 0
## 174 0
## 175 0
## 176 0
## 177 0
## 178 0
## 179 0
## 180 0
## 181 0
## 182 0
## 183 0
## 184 0
## 185 24
## 186 0
## 187 0
## 188 0
## 189 11
## 190 0
## 191 0
## 192 72
## 193 0
## 194 105
## 195 0
## 196 0
## 197 68
## 198 0
## 199 29
## 200 95
## 201 0
## 202 0
## 203 15
## 204 79
## 205 0
## 206 0
## 207 0
## 208 23
## 209 0
## 210 0
## 211 0
## 212 0
## 213 50
## 214 29
## 215 0
## 216 0
## 217 0
## 218 0
## 219 0
## 220 0
## 221 0
## 222 0
## 223 0
## 224 0
## 225 23
## 226 0
## 227 0
## 228 0
## 229 0
## 230 0
## 231 0
## 232 0
## 233 182
## 234 0
## 235 0
## 236 0
## 237 0
## 238 16
## 239 0
## 240 0
## 241 0
## 242 31
## 243 0
## 244 46
## 245 0
## 246 0
## 247 60
## 248 0
## 249 0
## 250 0
## 251 0
## 252 0
## 253 0
## 254 28
## 255 28
## 256 0
## 257 0
## 258 0
## 259 0
## 260 0
## 261 0
## 262 0
## 263 0
## 264 0
## 265 0
## 266 0
## 267 0
## 268 0
## 269 0
## 270 0
## 271 0
## 272 0
## 273 213
## 274 141
## 275 46
## 276 33
## 277 0
## 278 0
## 279 0
## 280 0
## 281 0
## 282 0
## 283 71
## 284 0
## 285 0
## 286 0
## 287 0
## 288 26
## 289 52
## 290 58
## 291 0
## 292 0
## 293 0
## 294 0
## 295 130
## 296 25
## 297 0
## 298 0
## 299 0
## 300 0
## 301 0
## 302 0
## 303 51
## 304 10
## 305 0
## 306 0
## 307 0
## 308 0
## 309 0
## 310 0
## 311 0
## 312 0
## 313 0
## 314 0
## 315 0
## 316 0
## 317 0
## 318 0
## 319 23
## 320 194
## 321 0
## 322 0
## 323 0
## 324 0
## 325 0
## 326 0
## 327 0
## 328 0
## 329 0
## 330 59
## 331 0
## 332 0
## 333 0
## 334 82
## 335 58
## 336 0
## 337 0
## 338 0
## 339 0
## 340 0
## 341 0
## 342 0
## 343 0
## 344 0
## 345 0
## 346 0
## 347 53
## 348 0
## 349 0
## 350 0
## 351 0
## 352 0
## 353 0
## 354 7
## 355 0
## 356 0
## 357 0
## 358 0
## 359 0
## 360 0
## 361 0
## 362 51
## 363 0
## 364 0
## 365 0
## 366 10
## 367 0
## 368 0
## 369 41
## 370 0
## 371 0
## 372 0
## 373 147
## 374 0
## 375 0
## 376 0
## 377 0
## 378 0
## 379 0
## 380 0
## 381 0
## 382 0
## 383 0
## 384 0
## 385 0
## 386 0
## 387 0
## 388 0
## 389 0
## 390 0
## 391 0
## 392 0
## 393 0
## 394 0
## 395 0
## 396 0
## 397 0
## 398 0
## 399 0
## 400 0
## 401 0
## 402 0
## 403 0
## 404 0
## 405 0
## 406 67
## 407 0
## 408 0
## 409 0
## 410 0
## 411 0
## 412 0
## 413 0
## 414 0
## 415 94
## 416 224
## 417 302
## 418 0
## 419 0
## 420 0
## 421 0
## 422 0
## 423 0
## 424 0
## 425 0
## 426 0
## 427 0
## 428 184
## 429 0
## 430 134
## 431 118
## 432 0
## 433 0
## 434 0
## 435 112
## 436 62
## 437 19
## 438 0
## 439 0
## 440 0
## 441 0
## 442 0
## 443 0
## 444 0
## 445 0levels(ps.m$Phylum)## [1] "Abditibacteriota" "Acidobacteriota" "Actinobacteriota"
## [4] "Armatimonadota" "Bacteroidota" "Bdellovibrionota"
## [7] "Campylobacterota" "Chloroflexi" "Crenarchaeota"
## [10] "Cyanobacteria" "Dependentiae" "Desulfobacterota"
## [13] "Elusimicrobiota" "Entotheonellaeota" "Fibrobacterota"
## [16] "Firmicutes" "Gemmatimonadota" "MBNT15"
## [19] "Myxococcota" "Nitrospirota" "Patescibacteria"
## [22] "Planctomycetota" "Proteobacteria" "RCP2-54"
## [25] "Spirochaetota" "Sumerlaeota" "Verrucomicrobiota"Несколько картинок по динамике предсталенности отдельных фил Bdellovibrionota - хищники, индикатор развитого сообщества
ps.m %>%
filter(Phylum == "Bdellovibrionota") %>%
group_by(Description, Day) %>%
summarise(Bs = sum(Abundance)) %>%
ggplot() +
geom_boxplot(aes(x = Day, y = Bs)) +
theme_bw()## `summarise()` has grouped output by 'Description'. You can override using the
## `.groups` argument.
Myxococcota - вроде бы тоже, но как нам известно могут быть целлулотитиками
ps.m %>%
filter(Phylum == "Myxococcota") %>%
group_by(Description, Day) %>%
summarise(Bs = sum(Abundance)) %>%
ggplot() +
geom_boxplot(aes(x = Day, y = Bs)) +
theme_bw()## `summarise()` has grouped output by 'Description'. You can override using the
## `.groups` argument.
Археи появляются тоже на поздних стадиях - вообще я бы хотел бы опять
развить тему важности азотного метаболизма на поздних стадиях
разложения.
Оч хочется метагеном, но не этот.
Кроме того хочется отметить, что эти минорные группы возникают на
D12
ps.m %>%
filter(Phylum == "Crenarchaeota") %>%
group_by(Description, Day) %>%
summarise(Bs = sum(Abundance)) %>%
ggplot() +
geom_boxplot(aes(x = Day, y = Bs)) +
theme_bw()## `summarise()` has grouped output by 'Description'. You can override using the
## `.groups` argument.
Gammaproteobacteria - они треть кластера blue
ps.m %>%
filter(Class == "Gammaproteobacteria") %>%
group_by(Description, Day) %>%
summarise(Bs = sum(Abundance)) %>%
ggplot() +
geom_boxplot(aes(x = Day, y = Bs)) +
theme_bw()## `summarise()` has grouped output by 'Description'. You can override using the
## `.groups` argument.
Все филы - представлененось логорифмирована по основанию 2 - что-то не очень.
ps.m %>%
group_by(Description, Day, Phylum) %>%
summarise(Bs = log2(sum(Abundance))) %>%
ggplot(aes(x = Day, y = Bs)) +
geom_boxplot() +
theme_bw() +
facet_wrap(~ Phylum)## `summarise()` has grouped output by 'Description', 'Day'. You can override
## using the `.groups` argument.## Warning: Removed 488 rows containing non-finite values (stat_boxplot).